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Tag #topic

726 papers:

EDMEDM-2019-DavisWY #education #graph #n-gram
N-gram Graphs for Topic Extraction in Educational Forums (GMD, CW, CY).
MSRMSR-2019-Treude0 #git #modelling #predict #stack overflow
Predicting good configurations for GitHub and stack overflow topic models (CT, MW0), pp. 84–95.
CIKMCIKM-2019-AhmadvandSCA #classification #named
ConCET: Entity-Aware Topic Classification for Open-Domain Conversational Agents (AA, HS, JIC, EA), pp. 1371–1380.
CIKMCIKM-2019-JiangSTWZXY #modelling
Federated Topic Modeling (DJ, YS, YT, XW0, WZ, QX, QY), pp. 1071–1080.
CIKMCIKM-2019-KangPKCC #modelling #recommendation #using
Recommender System Using Sequential and Global Preference via Attention Mechanism and Topic Modeling (KK, JP, WK, HC, JC), pp. 1543–1552.
CIKMCIKM-2019-LiuLLD0 #generative #information management
Generating Paraphrase with Topic as Prior Knowledge (YL, ZL, FL, QD, WW0), pp. 2381–2384.
ECIRECIR-p1-2019-AlbahemSSC #how #metric #question
Meta-evaluation of Dynamic Search: How Do Metrics Capture Topical Relevance, Diversity and User Effort? (AA, DS, FS, LC), pp. 607–620.
ECIRECIR-p1-2019-BahrainianZMC #information retrieval #predict #query
Predicting the Topic of Your Next Query for Just-In-Time IR (SAB, FZ, IM, FC), pp. 261–275.
ECIRECIR-p1-2019-DaltonNDA #query
Local and Global Query Expansion for Hierarchical Complex Topics (JD0, SN, LD, JA), pp. 290–303.
ECIRECIR-p1-2019-PfeiferL #approach #clustering #modelling
Topic Grouper: An Agglomerative Clustering Approach to Topic Modeling (DP, JLL), pp. 590–603.
ECIRECIR-p1-2019-WangFOM #metric #similarity #twitter
Evaluating Similarity Metrics for Latent Twitter Topics (XW, AF, IO, CM), pp. 787–794.
ICMLICML-2019-GhorbaniJM #modelling
An Instability in Variational Inference for Topic Models (BG, HJ, AM), pp. 2221–2231.
KDDKDD-2019-ZhouMZ #memory management #network #personalisation #recommendation
Topic-Enhanced Memory Networks for Personalised Point-of-Interest Recommendation (XZ, CM, ZZ), pp. 3018–3028.
JCDLJCDL-2018-BunkK #modelling #named #word
WELDA: Enhancing Topic Models by Incorporating Local Word Context (SB, RK), pp. 293–302.
JCDLJCDL-2018-SalatinoOM #named #research
AUGUR: Forecasting the Emergence of New Research Topics (AAS, FO, EM), pp. 303–312.
EDMEDM-2018-MotzBRL
Finding Topics in Enrollment Data (BM, TAB, MER, DL).
EDMEDM-2018-NandaHWDG #comprehension #modelling #online #using
Understanding Learners' Opinion about Participation Certificates in Online Courses using Topic Modeling (GN, NMH, DRW, KAD, DG).
ICPCICPC-2018-VivianiJFXM #design #developer #question #what
What design topics do developers discuss? (GV, CJJ, MF, XX0, GCM), pp. 328–331.
CIKMCIKM-2018-BaiCLKX #analysis #modelling #relational
Neural Relational Topic Models for Scientific Article Analysis (HB, ZC, MRL, IK, ZX), pp. 27–36.
CIKMCIKM-2018-ChenLXX #fine-grained
Short Text Entity Linking with Fine-grained Topics (LC, JL, CX, YX), pp. 457–466.
CIKMCIKM-2018-FangOMHXY #approach #effectiveness #modelling #twitter
An Effective Approach for Modelling Time Features for Classifying Bursty Topics on Twitter (AF, IO, CM, PH, XX, HTY), pp. 1547–1550.
CIKMCIKM-2018-HoangVN #benchmark #dataset #detection #metric #named
W2E: A Worldwide-Event Benchmark Dataset for Topic Detection and Tracking (TAH, KDV, WN), pp. 1847–1850.
CIKMCIKM-2018-InelHLGSSKA #crowdsourcing
Studying Topical Relevance with Evidence-based Crowdsourcing (OI, GH, DL, CVG, ZS, ES, EK, LA), pp. 1253–1262.
CIKMCIKM-2018-LiLCOL #approach #classification #documentation #modelling
Dataless Text Classification: A Topic Modeling Approach with Document Manifold (XL, CL, JC, JO, CL), pp. 973–982.
CIKMCIKM-2018-RaynaudSL #named #navigation
Fouilla: Navigating DBpedia by Topic (TR, JS, FL), pp. 1907–1910.
CIKMCIKM-2018-ViegasLGKCMSRG #modelling #semantics
Semantically-Enhanced Topic Modeling (FV, WL, CG, AK, SDC, FM, TS, LCdR, MAG), pp. 893–902.
ECIRECIR-2018-BahrainianMC #predict
Predicting Topics in Scholarly Papers (SAB, IM, FC), pp. 16–28.
ECIRECIR-2018-DaiC
Inverted List Caching for Topical Index Shards (ZD, JC), pp. 577–583.
ECIRECIR-2018-DeyKGS #community #lifecycle #network #semantics #social
Topic Lifecycle on Social Networks: Analyzing the Effects of Semantic Continuity and Social Communities (KD, SK, KG, RS), pp. 29–42.
ECIRECIR-2018-DeySK #detection #twitter #using
Topical Stance Detection for Twitter: A Two-Phase LSTM Model Using Attention (KD, RS, SK), pp. 529–536.
ECIRECIR-2018-SpitzG #approach
Entity-Centric Topic Extraction and Exploration: A Network-Based Approach (AS, MG), pp. 3–15.
ECIRECIR-2018-TrikhaZB #detection #mining
Topic-Association Mining for User Interest Detection (AKT, FZ, EB), pp. 665–671.
ICMLICML-2018-Huang0S #learning #markov #modelling
Learning Hidden Markov Models from Pairwise Co-occurrences with Application to Topic Modeling (KH, XF0, NDS), pp. 2073–2082.
ICMLICML-2018-ZhaoDBZ #learning #word
Inter and Intra Topic Structure Learning with Word Embeddings (HZ, LD, WLB, MZ), pp. 5887–5896.
ICPRICPR-2018-BicegoLDGA #mining #modelling #using
Mining NMR Spectroscopy Using Topic Models (MB, PL, MD, FG, MA), pp. 3784–3789.
ICPRICPR-2018-ZhaoPL0DWQ #learning #locality #semantics #using
Learning Topics Using Semantic Locality (ZZ, KP, SL, ZL0, CD, YW, QQ), pp. 3710–3715.
KDDKDD-2018-AcharyaGZ #markov
A Dual Markov Chain Topic Model for Dynamic Environments (AA, JG, MZ), pp. 1099–1108.
KDDKDD-2018-ZhangTCSJSV0 #adaptation #clustering #named #taxonomy
TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering (CZ0, FT, XC, JS, MJ0, BMS, MV, JH0), pp. 2701–2709.
ICSE-2018-DamevskiCSKP #behaviour #developer #ide #modelling #predict #using
Predicting future developer behavior in the IDE using topic models (KD, HC, DCS, NAK, LLP), p. 932.
EDMEDM-2017-CaiEDPGS #analysis #chat #collaboration #learning #modelling #network
Epistemic Network Analysis and Topic Modeling for Chat Data from Collaborative Learning Environment (ZC, BRE, ND, JWP, ACG, DWS).
EDMEDM-2017-ChoiWBCRF #social #student
Social work in the classroom? A tool to evaluate topical relevance in student writing (HC, ZW, CB, KCT, BGR, DF).
EDMEDM-2017-KuangCHN #analysis #framework #network #platform #social
A Topic Model and Social Network Analysis of a School Blogging Platform (XK, HSC, BH, GN).
EDMEDM-2017-ZhuLW0 #automation #effectiveness #framework #generative #ranking
An Effective Framework for Automatically Generating and Ranking Topics in MOOC Videos (JZ, XL, ZW, MZ0).
CIKMCIKM-2017-Duong-TrungS #concept #documentation #on the
On Discovering the Number of Document Topics via Conceptual Latent Space (NDT, LST), pp. 2051–2054.
CIKMCIKM-2017-HalderKS #concurrent #health #recommendation #thread #using
Health Forum Thread Recommendation Using an Interest Aware Topic Model (KH, MYK, KS), pp. 1589–1598.
CIKMCIKM-2017-HeWJ #category theory #modelling #relational
Incorporating the Latent Link Categories in Relational Topic Modeling (YH, CW, CJ), pp. 1877–1886.
CIKMCIKM-2017-Jiang0ZWZ #composition #modelling
A Topic Model Based on Poisson Decomposition (HJ, RZ0, LZ, HW0, YZ), pp. 1489–1498.
CIKMCIKM-2017-LeL17a #analysis #interactive #named #semantics #visualisation
SemVis: Semantic Visualization for Interactive Topical Analysis (TMVL, HWL), pp. 2487–2490.
CIKMCIKM-2017-LinMZ #approach #identification #modelling #multi
An Enhanced Topic Modeling Approach to Multiple Stance Identification (JL, WM, YZ), pp. 2167–2170.
CIKMCIKM-2017-NguyenL #collaboration #community
Collaborative Topic Regression with Denoising AutoEncoder for Content and Community Co-Representation (TTN, HWL), pp. 2231–2234.
CIKMCIKM-2017-ProskurniaM0AC #detection #documentation #performance #using
Efficient Document Filtering Using Vector Space Topic Expansion and Pattern-Mining: The Case of Event Detection in Microposts (JP, RM, CC0, KA, PCM), pp. 457–466.
CIKMCIKM-2017-TanKMH #overview #retrieval #sentiment #summary
Sentence Retrieval with Sentiment-specific Topical Anchoring for Review Summarization (JT, AK, RPM, YH), pp. 2323–2326.
CIKMCIKM-2017-ThonetCBP #modelling #network #social
Users Are Known by the Company They Keep: Topic Models for Viewpoint Discovery in Social Networks (TT, GC, MB, KPS), pp. 87–96.
CIKMCIKM-2017-WangFTH #behaviour #modelling #recommendation #visual notation
Improving the Gain of Visual Perceptual Behaviour on Topic Modeling for Text Recommendation (CW, YF, ZT, YH), pp. 2339–2342.
CIKMCIKM-2017-WangWZCG #online #recommendation #semantics #social
Joint Topic-Semantic-aware Social Recommendation for Online Voting (HW0, JW, MZ, JC, MG), pp. 347–356.
ECIRECIR-2017-AletrasM #image #network #using
Labeling Topics with Images Using a Neural Network (NA, AM), pp. 500–505.
ECIRECIR-2017-AzarbonyadDKMKR #modelling
Hierarchical Re-estimation of Topic Models for Measuring Topical Diversity (HA, MD0, TK, MM, JK, MdR), pp. 68–81.
ECIRECIR-2017-LiR #correlation #query #question
Do Topic Shift and Query Reformulation Patterns Correlate in Academic Search? (XL0, MdR), pp. 146–159.
ECIRECIR-2017-RoiteroMM #effectiveness #predict #question
Do Easy Topics Predict Effectiveness Better Than Difficult Topics? (KR, EM, SM), pp. 605–611.
ICMLICML-2017-CongCLZ #adaptation #probability
Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC (YC, BC0, HL, MZ), pp. 864–873.
ICMLICML-2017-MiaoGB
Discovering Discrete Latent Topics with Neural Variational Inference (YM, EG, PB), pp. 2410–2419.
KDDKDD-2017-AhmedLSW #algorithm #industrial #modelling #problem
A Practical Algorithm for Solving the Incoherence Problem of Topic Models In Industrial Applications (AA, JL, DS, YW), pp. 1713–1721.
KDDKDD-2017-HeHBHX #correlation #modelling #performance
Efficient Correlated Topic Modeling with Topic Embedding (JH, ZH, TBK, YH, EPX), pp. 225–233.
KDDKDD-2017-XunLGZ #coordination #word
Collaboratively Improving Topic Discovery and Word Embeddings by Coordinating Global and Local Contexts (GX, YL, JG0, AZ), pp. 535–543.
ICSE-2017-GopalakrishnanS #architecture #predict #question #source code
Can latent topics in source code predict missing architectural tactics? (RG, PS, MM, MG), pp. 15–26.
ASPLOSASPLOS-2017-LiCCZ #learning #modelling #named
SaberLDA: Sparsity-Aware Learning of Topic Models on GPUs (KL, JC0, WC, JZ0), pp. 497–509.
CASECASE-2017-JinMNS #flexibility #modelling #online
Online computation of polytopic flexibility models for demand shifting applications (BJ, MM, PN, ALSV), pp. 900–905.
EDMEDM-2016-AtapattuFT #approach #classification #visual notation
Topic-wise Classification of MOOC Discussions: A Visual Analytics Approach (TA, KF, HT), pp. 276–281.
EDMEDM-2016-FouhFHKS #data analysis #data type #using
Investigating Difficult Topics in a Data Structures Course Using Item Response Theory and Logged Data Analysis (EF, MFF, SH, KHK, CAS), pp. 370–375.
ICSMEICSME-2016-NguyenNN #fine-grained #source code #using
Using Topic Model to Suggest Fine-Grained Source Code Changes (HAN, ATN0, TNN), pp. 200–210.
MSRMSR-2016-LaymanNMM #modelling #problem #research
Topic modeling of NASA space system problem reports: research in practice (LL, APN, JM, TM), pp. 303–314.
CIKMCIKM-2016-KusmierczykN #online #semantics
Online Food Recipe Title Semantics: Combining Nutrient Facts and Topics (TK, KN), pp. 2013–2016.
CIKMCIKM-2016-LinZC #comprehension #probability
Understanding Sparse Topical Structure of Short Text via Stochastic Variational-Gibbs Inference (TL, SZ, HC), pp. 407–416.
CIKMCIKM-2016-LiSLNF #classification #knowledge base #named #twitter #word
TweetSift: Tweet Topic Classification Based on Entity Knowledge Base and Topic Enhanced Word Embedding (QL, SS, XL, AN, RF), pp. 2429–2432.
CIKMCIKM-2016-LiSNLF #hashtag #learning #rank #recommendation #twitter
Hashtag Recommendation Based on Topic Enhanced Embedding, Tweet Entity Data and Learning to Rank (QL, SS, AN, XL, RF), pp. 2085–2088.
CIKMCIKM-2016-LiuZCC #detection #graph #statistics
Graph Topic Scan Statistic for Spatial Event Detection (YL, BZ, FC0, DWC), pp. 489–498.
CIKMCIKM-2016-LiXSM #approach #documentation #effectiveness #word
Effective Document Labeling with Very Few Seed Words: A Topic Model Approach (CL, JX, AS, ZM), pp. 85–94.
CIKMCIKM-2016-LuCL #mining #recommendation #video
Scarce Feature Topic Mining for Video Recommendation (WL0, KFLC, KL), pp. 1993–1996.
CIKMCIKM-2016-SadriMY #adaptation #online #twitter
Online Adaptive Topic Focused Tweet Acquisition (MS, SM, YY), pp. 2353–2358.
CIKMCIKM-2016-ShiLBX #multi
Digesting Multilingual Reader Comments via Latent Discussion Topics with Commonality and Specificity (BS, WL, LB, YX), pp. 2293–2298.
CIKMCIKM-2016-SoleimaniM #classification #documentation #modelling #multi
Semi-supervised Multi-Label Topic Models for Document Classification and Sentence Labeling (HS, DJM0), pp. 105–114.
CIKMCIKM-2016-YanoTT #ambiguity #query
Quantifying Query Ambiguity with Topic Distributions (YY, YT, AT), pp. 1877–1880.
CIKMCIKM-2016-ZhangMZ #parametricity #word
A Non-Parametric Topic Model for Short Texts Incorporating Word Coherence Knowledge (YZ, WM, DDZ), pp. 2017–2020.
ECIRECIR-2016-AkerKBPBHG #approach #clustering #graph #online
A Graph-Based Approach to Topic Clustering for Online Comments to News (AA, EK, ARB, MLP, EB, MH, RJG), pp. 15–29.
ECIRECIR-2016-ChenJYYZ #graph #modelling #probability #semantics
Probabilistic Topic Modelling with Semantic Graph (LC0, JMJ, HY, FY, HZ), pp. 240–251.
ECIRECIR-2016-FangMOH #case study #metric #twitter #user study
Topics in Tweets: A User Study of Topic Coherence Metrics for Twitter Data (AF, CM, IO, PH), pp. 492–504.
ECIRECIR-2016-GiachanouHC #retrieval #twitter
Topic-Specific Stylistic Variations for Opinion Retrieval on Twitter (AG, MH, FC), pp. 466–478.
ECIRECIR-2016-KimSL #mining
Subtopic Mining Based on Three-Level Hierarchical Search Intentions (SJK, JS, JHL), pp. 741–747.
ECIRECIR-2016-ThonetCBP #named
VODUM: A Topic Model Unifying Viewpoint, Topic and Opinion Discovery (TT, GC, MB, KPS), pp. 533–545.
ECIRECIR-2016-ZarrinkalamFBK #twitter
Inferring Implicit Topical Interests on Twitter (FZ, HF, EB, MK), pp. 479–491.
ICMLICML-2016-AroraGKMM #algorithm #modelling
Provable Algorithms for Inference in Topic Models (SA, RG0, FK, TM, AM), pp. 2859–2867.
KDDKDD-2016-AmoualianCGA #approach #dependence #documentation #modelling #named
Streaming-LDA: A Copula-based Approach to Modeling Topic Dependencies in Document Streams (HA, MC, ÉG, MRA), pp. 695–704.
KDDKDD-2016-WangCF0E #analysis #modelling
Targeted Topic Modeling for Focused Analysis (SW, ZC0, GF, BL0, SE), pp. 1235–1244.
KDDKDD-2016-ZuoWZLWXX #modelling #perspective #pseudo
Topic Modeling of Short Texts: A Pseudo-Document View (YZ, JW, HZ0, HL, FW, KX0, HX), pp. 2105–2114.
MoDELSMoDELS-2016-KahaniBDC #analysis #eclipse #modelling #problem #tool support
The problems with eclipse modeling tools: a topic analysis of eclipse forums (NK, MB, JD, JRC), pp. 227–237.
ICSTICST-2016-GarousiH #case study #experience #testing
Selecting the Right Topics for Industry-Academia Collaborations in Software Testing: An Experience Report (VG, KH), pp. 213–222.
HTHT-2015-MorstatterPML #statistics
Text, Topics, and Turkers: A Consensus Measure for Statistical Topics (FM, JP, KM, HL), pp. 123–131.
JCDLJCDL-2015-AlbertsonJ #library #self #video
User and Topical Factors in Perceived Self-Efficacy of Video Digital Libraries (DEA, BJ), pp. 143–146.
JCDLJCDL-2015-ChoiLWD #library #modelling #music
Topic Modeling Users' Interpretations of Songs to Inform Subject Access in Music Digital Libraries (KC, JHL, CW, JSD), pp. 183–186.
JCDLJCDL-2015-MurdockZM #research
Topic Exploration with the HTRC Data Capsule for Non-Consumptive Research (JM, JZ, RHM), p. 295.
TPDLTPDL-2015-AlNoamanyWN #detection #web
Detecting Off-Topic Pages in Web Archives (YA, MCW, MLN), pp. 225–237.
TPDLTPDL-2015-LlewellynGAOT #dataset #twitter
Extracting a Topic Specific Dataset from a Twitter Archive (CL, CG, BA, JO, RT), pp. 364–367.
VLDBVLDB-2015-ChenFLFTT #online
Online Topic-Aware Influence Maximization (SC, JF, GL, JF, KLT, JT), pp. 666–677.
VLDBVLDB-2015-GalhotraBBRJ #evolution
Tracking the Conductance of Rapidly Evolving Topic-Subgraphs (SG, AB, SB, MR, VJ), pp. 2170–2181.
VLDBVLDB-2015-KouUMLLG
A Topic-based Reviewer Assignment System (NMK, LHU, NM, YL, YL, ZG), pp. 1852–1863.
EDMEDM-2015-AlHarbiH #automation #modelling #segmentation #using
Using Topic Segmentation Models for the Automatic Organisation of MOOCs resources (GA, TH), pp. 524–527.
EDMEDM-2015-GandhiBD #education #using #visual notation #word
Topic Transition in Educational Videos Using Visually Salient Words (AG, AB, OD), pp. 289–296.
EDMEDM-2015-MorettiMS #analysis #education #evaluation #policy #sentiment
Application of Sentiment and Topic Analysis to Teacher Evaluation Policy in the U.S (AM, KM, ASA), pp. 628–629.
ITiCSEITiCSE-2015-Aycock #education #experience
Applied Computer History: Experience Teaching Systems Topics through Retrogames (JA), pp. 105–110.
ICPCICPC-2015-SaeidiHKJ #analysis #interactive #modelling #named #source code
ITMViz: interactive topic modeling for source code analysis (AS, JH, RK, SJ), pp. 295–298.
ICSMEICSME-2015-CorleyKK #feature model #modelling
Modeling changeset topics for feature location (CSC, KLK, NAK), pp. 71–80.
MSRMSR-2015-ChowdhuryH #mining #stack overflow
Mining StackOverflow to Filter Out Off-Topic IRC Discussion (SAC, AH), pp. 422–425.
MSRMSR-2015-ZouXGYYZ #analysis #developer #empirical #non-functional #requirements #stack overflow #using
Which Non-functional Requirements Do Developers Focus On? An Empirical Study on Stack Overflow Using Topic Analysis (JZ, LX, WG, MY, DY, XZ), pp. 446–449.
SANERSANER-2015-HuSL #development #evolution #online
Explore the evolution of development topics via on-line LDA (JH, XS, BL), pp. 555–559.
SANERSANER-2015-HuSLL #development #evolution #modelling #using
Modeling the evolution of development topics using Dynamic Topic Models (JH, XS, DL, BL), pp. 3–12.
CHICHI-2015-BrzozowskiAC #community
Google+ Communities as Plazas and Topic Boards (MJB, PA, EHC), pp. 3779–3788.
CHICHI-2015-NguyenNIO #personalisation
The Known Stranger: Supporting Conversations between Strangers with Personalized Topic Suggestions (TTN, DTN, STI, EO), pp. 555–564.
HCIHIMI-IKC-2015-IshiiMKS #clustering #education
A Topic Model for Clustering Learners Based on Contents in Educational Counseling (TI, SM, KK, YS), pp. 323–331.
HCIHIMI-IKD-2015-UlbrichVSS #interactive
Reading Through Graphics: Interactive Landscapes to Explore Dynamic Topic Spaces (EU, EEV, SS, VS), pp. 127–137.
CIKMCIKM-2015-AletrasLBS #modelling
TM 2015 - Topic Models: Post-Processing and Applications Workshop (NA, JHL, TB, MS), pp. 1953–1954.
CIKMCIKM-2015-ChenZSW #approach #eye tracking #modelling #query #realtime
A Real-Time Eye Tracking Based Query Expansion Approach via Latent Topic Modeling (YC, PZ0, DS0, BW), pp. 1719–1722.
CIKMCIKM-2015-GuoWWT #network #social
Social-Relational Topic Model for Social Networks (WG, SW, LW0, TT), pp. 1731–1734.
CIKMCIKM-2015-HeWJ #canonical #correlation #documentation #network
Discovering Canonical Correlations between Topical and Topological Information in Document Networks (YH0, CW0, CJ), pp. 1281–1290.
CIKMCIKM-2015-JameelLSB #ranking
A Unified Posterior Regularized Topic Model with Maximum Margin for Learning-to-Rank (SJ, WL, SS, LB), pp. 103–112.
CIKMCIKM-2015-JoLR #analysis #predict
Time Series Analysis of Nursing Notes for Mortality Prediction via a State Transition Topic Model (YJ, NL, CPR), pp. 1171–1180.
CIKMCIKM-2015-LuCN #bias #lightweight #named #social #social media
BiasWatch: A Lightweight System for Discovering and Tracking Topic-Sensitive Opinion Bias in Social Media (HL, JC, WN), pp. 213–222.
CIKMCIKM-2015-PengZLHWZ #microblog #mining
Central Topic Model for Event-oriented Topics Mining in Microblog Stream (MP, JZ, XL, JH, HW0, YZ), pp. 1611–1620.
CIKMCIKM-2015-PuJWHX #keyword #modelling #semantics
Topic Modeling in Semantic Space with Keywords (XP, RJ, GW, DH, GRX), pp. 1141–1150.
CIKMCIKM-2015-WangZZLL #behaviour #dependence #infinity #modelling #social
Modeling Infinite Topics on Social Behavior Data with Spatio-temporal Dependence (PW0, PZ0, CZ0, ZL, GL), pp. 1919–1922.
CIKMCIKM-2015-ZenginC #documentation #learning
Learning User Preferences for Topically Similar Documents (MZ, BC), pp. 1795–1798.
ECIRECIR-2015-CanneytCD #classification #sentiment #twitter
Topic-Dependent Sentiment Classification on Twitter (SVC, NC, BD), pp. 441–446.
ECIRECIR-2015-ChongDL #modelling #predict #using
Prediction of Venues in Foursquare Using Flipped Topic Models (WHC, BTD, EPL), pp. 623–634.
ECIRECIR-2015-FeiHY #microblog
Handling Topic Drift for Topic Tracking in Microblogs (YF, YH, JY), pp. 477–488.
ECIRECIR-2015-HagenWS #corpus #web
A Corpus of Realistic Known-Item Topics with Associated Web Pages in the ClueWeb09 (MH, DW, BS), pp. 513–525.
ECIRECIR-2015-JameelLB #modelling #parametricity #using
Nonparametric Topic Modeling Using Chinese Restaurant Franchise with Buddy Customers (SJ, WL, LB), pp. 648–659.
ECIRECIR-2015-SchulteTW
On-topic Cover Stories from News Archives (CS, BT, GW), pp. 37–42.
ECIRECIR-2015-Tutubalina #problem
Target-Based Topic Model for Problem Phrase Extraction (ET), pp. 271–277.
ECIRECIR-2015-VuWTS #personalisation
Temporal Latent Topic User Profiles for Search Personalisation (TTV, AW, SNT, DS), pp. 605–616.
ICMLICML-2015-FouldsKG #framework #modelling #network #probability #programming
Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models (JRF, SHK, LG), pp. 777–786.
ICMLICML-2015-GanCHCC #analysis #modelling #scalability
Scalable Deep Poisson Factor Analysis for Topic Modeling (ZG, CC, RH, DEC, LC), pp. 1823–1832.
ICMLICML-2015-HeRFGL #modelling #named #network
HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades (XH, TR, JRF, LG, YL), pp. 871–880.
KDDKDD-2015-EmbarBPV #analysis #online #social
Online Topic-based Social Influence Analysis for the Wimbledon Championships (VRE, IB, VP, RV), pp. 1759–1768.
KDDKDD-2015-HayashiMTK #detection #realtime #twitter
Real-Time Top-R Topic Detection on Twitter with Topic Hijack Filtering (KH, TM, MT, KiK), pp. 417–426.
KDDKDD-2015-KalyanamMSVL #evolution #modelling #social
Leveraging Social Context for Modeling Topic Evolution (JK, AM, DST, HV, GRGL), pp. 517–526.
KDDKDD-2015-KimCKRP #matrix
Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization (HK, JC, JK, CKR, HP), pp. 567–576.
KDDKDD-2015-KimHY #mining #named
TOPTRAC: Topical Trajectory Pattern Mining (YK, JH, CY), pp. 587–596.
KDDKDD-2015-WangLSH #approach #composition #interactive #recursion #towards
Towards Interactive Construction of Topical Hierarchy: A Recursive Tensor Decomposition Approach (CW, XL, YS, JH), pp. 1225–1234.
KDDKDD-2015-WangZHSY
Discerning Tactical Patterns for Professional Soccer Teams: An Enhanced Topic Model with Applications (QW, HZ, WH, ZS, YY), pp. 2197–2206.
KDDKDD-2015-ZhangKX #contest #image #modelling #monitoring #online
Dynamic Topic Modeling for Monitoring Market Competition from Online Text and Image Data (HZ, GK, EPX), pp. 1425–1434.
KDDKDD-2015-ZhengYX #composition #linear #modelling #using
Linear Time Samplers for Supervised Topic Models using Compositional Proposals (XZ, YY, EPX), pp. 1523–1532.
SEKESEKE-2015-TakahashiNT #automation #elicitation #feedback #requirements #towards #using
Towards Automatic Requirements Elicitation from Feedback Comments: Extracting Requirements Topics Using LDA (HT, HN, TT), pp. 489–494.
SEKESEKE-2015-ZouCH #impact analysis #mobile #user interface
Topic Matching Based Change Impact Analysis from Feature on User Interface of Mobile Apps (QZ, XC, YH), pp. 477–482.
SIGIRSIGIR-2015-AlbakourMO #data type #identification #metadata #using
Using Sensor Metadata Streams to Identify Topics of Local Events in the City (MDA, CM, IO), pp. 711–714.
SIGIRSIGIR-2015-DijkTR #community #detection
Early Detection of Topical Expertise in Community Question Answering (DvD, MT, MdR), pp. 995–998.
SIGIRSIGIR-2015-EswaranBP #classification #modelling #scalability
Modeling Website Topic Cohesion at Scale to Improve Webpage Classification (DE, PNB, JJPI), pp. 787–790.
SIGIRSIGIR-2015-FangOHML #classification #twitter
Topic-centric Classification of Twitter User’s Political Orientation (AF, IO, PH, CM, NL), pp. 791–794.
SIGIRSIGIR-2015-TanWX #matrix #multi #summary
Joint Matrix Factorization and Manifold-Ranking for Topic-Focused Multi-Document Summarization (JT, XW, JX), pp. 987–990.
SIGIRSIGIR-2015-YangKML #modelling #parametricity #sentiment
Parametric and Non-parametric User-aware Sentiment Topic Models (ZY, AK, AM, SL), pp. 413–422.
SACSAC-2015-ChaCBCYBC #framework #online
A universal topic framework (UniZ) and its application in online search (YC, KhC, HB, YC, TWY, BB, JC), pp. 1078–1085.
SACSAC-2015-Chakraborti #identification #multi #optimisation #summary
Multi-document text summarization for competitor intelligence: a methodology based on topic identification and artificial bee colony optimization (SC), pp. 1110–1111.
SACSAC-2015-DermoucheKVL #modelling #sentiment
A joint model for topic-sentiment modeling from text (MD, LK, JV, SL), pp. 819–824.
CASECASE-2015-SundarkumarRNG #api #detection #machine learning #modelling
Malware detection via API calls, topic models and machine learning (GGS, VR, IN, VG), pp. 1212–1217.
HTHT-2014-FerraraIT #lens #online
Online popularity and topical interests through the lens of instagram (EF, RI, AT), pp. 24–34.
HTHT-2014-HerzigMR #detection #social #social media
An author-reader influence model for detecting topic-based influencers in social media (JH, YM, HR), pp. 46–55.
JCDLJCDL-2014-AletrasBLS #library #representation
Representing topics labels for exploring digital libraries (NA, TB, JHL, MS), pp. 239–248.
JCDLJCDL-2014-XuMM #evolution
Topical establishment leveraging literature evolution (HX, EM, AM), pp. 249–252.
JCDLJCDL-2014-YouDMLN #health #information retrieval #visualisation
Visualized Related Topics (VRT) system for health information retrieval (SY, JD, XM, SL, JCN), pp. 429–430.
VLDBVLDB-2015-El-KishkySWVH14 #corpus #mining #scalability
Scalable Topical Phrase Mining from Text Corpora (AEK, YS, CW, CRV, JH), pp. 305–316.
ITiCSEITiCSE-2014-SirajGTH #security
Empowering faculty to embed security topics into computer science courses (AS, SG, JT, AH), pp. 99–104.
SANERCSMR-WCRE-2014-GrantC #maintenance #similarity
Examining the relationship between topic model similarity and software maintenance (SG, JRC), pp. 303–307.
ICPCICPC-2014-McBurneyLMW #source code #summary
Improving topic model source code summarization (PWM, CL, CM, TW), pp. 291–294.
ICSMEICSME-2014-YeasminRS #debugging #evolution #interactive #summary #using #visualisation
Interactive Visualization of Bug Reports Using Topic Evolution and Extractive Summaries (SY, CKR, KAS), pp. 421–425.
ICSMEICSME-2014-ZouH #modelling
LDA Analyzer: A Tool for Exploring Topic Models (CZ, DH), pp. 593–596.
ICFPICFP-2014-AngiuliMLH
Homotopical patch theory (CA, EM, DRL, RH), pp. 243–256.
CSCWCSCW-2014-BhattacharyaGKMZGG #microblog #scalability #twitter
Deep Twitter diving: exploring topical groups in microblogs at scale (PB, SG, JK, MM, MBZ, NG, KPG), pp. 197–210.
HCIHIMI-DE-2014-KobayashiS #corpus
Finding Division Points for Time-Series Corpus Based on Topic Changes (HK, RS), pp. 364–372.
CAiSECAiSE-2014-BurnayJF #case study #elicitation #requirements
An Exploratory Study of Topic Importance in Requirements Elicitation Interviews (CB, IJ, SF), pp. 180–195.
ICEISICEIS-v1-2014-ShakirIB #machine learning
Machine Learning Techniques for Topic Spotting (NS, EI, ISB), pp. 450–455.
CIKMCIKM-2014-ChuWCC #metric #microblog #monitoring
Microblog Topic Contagiousness Measurement and Emerging Outbreak Monitoring (VWC, RKW, FC, CHC), pp. 1099–1108.
CIKMCIKM-2014-DerntlGTKJ #modelling #web
Building and Exploring Dynamic Topic Models on the Web (MD, NG, AT, RK, MJ), pp. 2012–2014.
CIKMCIKM-2014-GuiSHB #modelling #multi #network
Modeling Topic Diffusion in Multi-Relational Bibliographic Information Networks (HG, YS, JH, GB), pp. 649–658.
CIKMCIKM-2014-HinneburgRPO #documentation
Exploring Document Collections with Topic Frames (AH, FR, SP, CO), pp. 2084–2086.
CIKMCIKM-2014-LimB #sentiment #twitter
Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon (KWL, WLB), pp. 1319–1328.
CIKMCIKM-2014-MingYC #approach #re-engineering #summary
A Dynamic Reconstruction Approach to Topic Summarization of User-Generated-Content (ZM, JY, TSC), pp. 311–320.
CIKMCIKM-2014-ZhuMHZC #social #social media #using
Customized Organization of Social Media Contents using Focused Topic Hierarchy (XZ, ZM, YH, XZ, TSC), pp. 1509–1518.
ECIRECIR-2014-NguyenK #query
Leveraging Dynamic Query Subtopics for Time-Aware Search Result Diversification (TNN, NK), pp. 222–234.
ECIRECIR-2014-PanemBGV #detection #realtime #twitter #using
Entity Tracking in Real-Time Using Sub-topic Detection on Twitter (SP, RB, MG, VV), pp. 528–533.
ECIRECIR-2014-Qian #web
Text-Image Topic Discovery for Web News Data (MQ), pp. 675–680.
ECIRECIR-2014-SterckxDDMD #quality
Assessing Quality of Unsupervised Topics in Song Lyrics (LS, TD, JD, LM, CD), pp. 547–552.
ICMLICML-c1-2014-InouyeRD #dependence #word
Admixture of Poisson MRFs: A Topic Model with Word Dependencies (DI, PDR, ISD), pp. 683–691.
ICMLICML-c1-2014-LiWLZT #dependence #modelling #on the
On Modelling Non-linear Topical Dependencies (ZL, SW, JL, PZ, JT), pp. 458–466.
ICMLICML-c1-2014-RabinovichB
The Inverse Regression Topic Model (MR, DMB), pp. 199–207.
ICMLICML-c1-2014-TangMNMZ #analysis #comprehension #modelling
Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis (JT, ZM, XN, QM, MZ), pp. 190–198.
ICMLICML-c2-2014-Chen0 #big data #learning #modelling #using
Topic Modeling using Topics from Many Domains, Lifelong Learning and Big Data (ZC, BL), pp. 703–711.
ICPRICPR-2014-DominguesMMSR #information management #recommendation #using
Using Contextual Information from Topic Hierarchies to Improve Context-Aware Recommender Systems (MAD, MGM, RMM, CVS, SOR), pp. 3606–3611.
ICPRICPR-2014-DuDA #modelling #using
Signature Matching Using Supervised Topic Models (XD, DSD, WAA), pp. 327–332.
ICPRICPR-2014-HaoXPSK #automation #semantics #using
Automated Chinese Essay Scoring from Topic Perspective Using Regularized Latent Semantic Indexing (SH, YX, HP, KS, DK), pp. 3092–3097.
ICPRICPR-2014-LiRPV #modelling #using
Regularizing Topic Discovery in EMRs with Side Information by Using Hierarchical Bayesian Models (CL, SR, DQP, SV), pp. 1307–1312.
ICPRICPR-2014-ManzatoDMR #feedback #personalisation #ranking #recommendation
Improving Personalized Ranking in Recommender Systems with Topic Hierarchies and Implicit Feedback (MGM, MAD, RMM, SOR), pp. 3696–3701.
ICPRICPR-2014-NegiBC
Discovering User-Communities and Associated Topics from YouTube (SN, RB, SC), pp. 1958–1963.
ICPRICPR-2014-ZouYCDJ #clustering #correlation #video
A Belief Based Correlated Topic Model for Trajectory Clustering in Crowded Video Scenes (JZ, QY, YC, DSD, JJ), pp. 2543–2548.
KDDKDD-2014-BiKWC #resource management
Who are experts specializing in landscape photography?: analyzing topic-specific authority on content sharing services (BB, BK, CW, JC), pp. 1506–1515.
KDDKDD-2014-BuntineM #modelling #parametricity
Experiments with non-parametric topic models (WLB, SM), pp. 881–890.
KDDKDD-2014-Chen0 #big data #documentation #mining
Mining topics in documents: standing on the shoulders of big data (ZC, BL), pp. 1116–1125.
KDDKDD-2014-GuSJWC #estimation #network
Topic-factorized ideal point estimation model for legislative voting network (YG, YS, NJ, BW, TC), pp. 183–192.
KDDKDD-2014-HanWE #mining
Bringing structure to text: mining phrases, entities, topics, and hierarchies (JH, CW, AEK), p. 1968.
KDDKDD-2014-LiARS #complexity #modelling
Reducing the sampling complexity of topic models (AQL, AA, SR, AJS), pp. 891–900.
KDDKDD-2014-SchubertWK #detection #named #scalability
SigniTrend: scalable detection of emerging topics in textual streams by hashed significance thresholds (ES, MW, HPK), pp. 871–880.
KDDKDD-2014-SpasojevicYRB #multi #named #network #scalability #social
LASTA: large scale topic assignment on multiple social networks (NS, JY, AR, PB), pp. 1809–1818.
KDDKDD-2014-TongCC #named #performance
TCS: efficient topic discovery over crowd-oriented service data (YT, CCC, LC), pp. 861–870.
KDDKDD-2014-WuZTH0 #crowdsourcing #modelling #personalisation #using #video
Crowdsourced time-sync video tagging using temporal and personalized topic modeling (BW, EZ, BT, AH, QY), pp. 721–730.
KDDKDD-2014-YangKSG #modelling #scalability #twitter
Large-scale high-precision topic modeling on twitter (SHY, AK, AS, PG), pp. 1907–1916.
KDIRKDIR-2014-DistanteCVL #learning #online #paradigm #plugin
Enhancing Online Discussion Forums with a Topic-driven Navigational Paradigm — A Plugin for the Moodle Learning Management System (DD, LC, AV, ML), pp. 97–106.
KDIRKDIR-2014-LiuF #analysis #classification #sentiment #web
Web Content Classification based on Topic and Sentiment Analysis of Text (SL, TF), pp. 300–307.
KMISKMIS-2014-WitschelTL #automation #navigation
Where Did I(T) Put It? — A Holistic Solution to the Automatic Construction of Topic Trees for Navigation (HFW, BT, JL), pp. 194–202.
RecSysRecSys-2014-BastianHVSSKUL #scalability
LinkedIn skills: large-scale topic extraction and inference (MB, MH, WV, SS, PS, HJK, SU, CL), pp. 1–8.
RecSysRecSys-2014-TavakolB #detection
Factored MDPs for detecting topics of user sessions (MT, UB), pp. 33–40.
SEKESEKE-2014-ZhangGCS0
Topic Evolutions in Scientific Conferences (LZ, YG, XC, WS, LC), pp. 507–510.
SIGIRSIGIR-2014-ChenGLH #twitter
Inferring topic-dependent influence roles of Twitter users (CC, DG, WL, YH), pp. 1203–1206.
SIGIRSIGIR-2014-CulpepperMSS #named
TREC: topic engineering exercise (JSC, SM, MS, FS), pp. 1147–1150.
SIGIRSIGIR-2014-DamH #scalability #verification
Large-scale author verification: temporal and topical influences (MvD, CH), pp. 1039–1042.
SIGIRSIGIR-2014-HingmireC #approach #classification
Topic labeled text classification: a weakly supervised approach (SH, SC), pp. 385–394.
SIGIRSIGIR-2014-Ifada #modelling #personalisation #recommendation #using
A tag-based personalized item recommendation system using tensor modeling and topic model approaches (NI), p. 1280.
SIGIRSIGIR-2014-LuLMWXW #interactive #microblog #recommendation
Computing and applying topic-level user interactions in microblog recommendation (XL, PL, HM, SW, AX, BW), pp. 843–846.
SIGIRSIGIR-2014-LuMC
A collective topic model for milestone paper discovery (ZL, NM, DWC), pp. 1019–1022.
SIGIRSIGIR-2014-RajaniMB #microblog
Extracting topics based on authors, recipients and content in microblogs (NFNR, KM, JB), pp. 1171–1174.
SIGIRSIGIR-2014-SpinaGA #detection #learning #monitoring #online #similarity
Learning similarity functions for topic detection in online reputation monitoring (DS, JG, EA), pp. 527–536.
SIGIRSIGIR-2014-VoseckyLN #collaboration #modelling #personalisation #twitter
Collaborative personalized Twitter search with topic-language models (JV, KWTL, WN), pp. 53–62.
SIGIRSIGIR-2014-YaoZJBCSY #modelling #probability
Probabilistic text modeling with orthogonalized topics (EY, GZ, OJ, SB, KC, ZS, YY), pp. 907–910.
SACSAC-2014-HuWZ #documentation #internet
The discovery of user related rare sequential patterns of topics in the internet document stream (ZH, HW, JZ), pp. 137–138.
DocEngDocEng-2013-SrivastavaSM #graph #interactive
A graph-based topic extraction method enabling simple interactive customization (AS, AJS, EEM), pp. 71–80.
DRRDRR-2013-WalkerRS #fault #modelling
Evaluating supervised topic models in the presence of OCR errors (DDW, EKR, KDS).
HTHT-2013-BastosPT #twitter
Tweeting across hashtags: overlapping users and the importance of language, topics, and politics (MTB, CP, RT), pp. 164–168.
HTHT-2013-CanoVRCH #classification #social #social media
Harnessing linked knowledge sources for topic classification in social media (AEC, AV, MR, FC, YH), pp. 41–50.
HTHT-2013-KrestelS #generative #sentiment
Generating contextualized sentiment lexica based on latent topics and user ratings (RK, SS), pp. 129–138.
JCDLJCDL-2013-GollapalliMG #graph #ranking #using
Ranking experts using author-document-topic graphs (SDG, PM, CLG), pp. 87–96.
JCDLJCDL-2013-TuarobPG #automation #metadata #modelling #probability #recommendation #using
Automatic tag recommendation for metadata annotation using probabilistic topic modeling (ST, LCP, CLG), pp. 239–248.
TPDLTPDL-2013-SchererLS #modelling #multi #repository #research
Topic Modeling for Search and Exploration in Multivariate Research Data Repositories (MS, TvL, TS), pp. 370–373.
TPDLTPDL-2013-TranZBNK #analysis #corpus
Topic Cropping: Leveraging Latent Topics for the Analysis of Small Corpora (NKT, SZ, KB, CN, RK), pp. 297–308.
VLDBVLDB-2013-LiWC #automation #framework #monitoring #platform #social #towards #twitter
Towards Social Data Platform: Automatic Topic-focused Monitor for Twitter Stream (RL, SW, KCCC), pp. 1966–1977.
MSRMSR-2013-AllamanisS #stack overflow #what #why
Why, when, and what: analyzing stack overflow questions by topic, type, and code (MA, CAS), pp. 53–56.
MSRMSR-2013-CampbellZXHM #analysis #detection #documentation #using
Deficient documentation detection: a methodology to locate deficient project documentation using topic analysis (JCC, CZ, ZX, AH, JM), pp. 57–60.
RTARTA-2013-GuiraudMM #monad
A Homotopical Completion Procedure with Applications to Coherence of Monoids (YG, PM, SM), pp. 223–238.
CHICHI-2013-LiaoF #interactive
Beyond the filter bubble: interactive effects of perceived threat and topic involvement on selective exposure to information (QVL, WTF), pp. 2359–2368.
CHICHI-2013-WangBK #analysis #facebook #gender
Gender, topic, and audience response: an analysis of user-generated content on facebook (YCW, MB, REK), pp. 31–34.
HCIHIMI-D-2013-ChangSCH #design #interface #layout #on the #performance
On the Reading Performance of Text Layout, Switch Position, Topic of Text, and Luminance Contrast for Chinese E-books Interface Design (WTC, LHS, ZC, KCH), pp. 567–575.
CIKMCIKM-2013-ArdonBMRSTT #analysis #twitter
Spatio-temporal and events based analysis of topic popularity in twitter (SA, AB, AM, AR, AS, RMT, ST), pp. 219–228.
CIKMCIKM-2013-BaoCD #classification
A partially supervised cross-collection topic model for cross-domain text classification (YB, NC, AD), pp. 239–248.
CIKMCIKM-2013-ChanYTDZW #categorisation #classification #community #kernel
Community question topic categorization via hierarchical kernelized classification (WC, WY, JT, JD, XZ, WW), pp. 959–968.
CIKMCIKM-2013-ChenMLHCG #using
Discovering coherent topics using general knowledge (ZC, AM, BL, MH, MC, RG), pp. 209–218.
CIKMCIKM-2013-HashemiNB #approach #learning #network #retrieval
Expertise retrieval in bibliographic network: a topic dominance learning approach (SHH, MN, HB), pp. 1117–1126.
CIKMCIKM-2013-IdaNM #independence #online
Domain-dependent/independent topic switching model for online reviews with numerical ratings (YI, TN, TM), pp. 229–238.
CIKMCIKM-2013-KimCHZRD #feedback #mining #modelling
Mining causal topics in text data: iterative topic modeling with time series feedback (HDK, MC, MH, CZ, TAR, DD), pp. 885–890.
CIKMCIKM-2013-MirylenkaP #navigation #network #wiki
Navigating the topical structure of academic search results via the Wikipedia category network (DM, AP), pp. 891–896.
CIKMCIKM-2013-SordoniHN #information retrieval #interactive #modelling #quantum #using
Modeling latent topic interactions using quantum interference for information retrieval (AS, JH, JYN), pp. 1197–1200.
CIKMCIKM-2013-VoseckyJLN #multi #twitter
Dynamic multi-faceted topic discovery in twitter (JV, DJ, KWTL, WN), pp. 879–884.
CIKMCIKM-2013-WangYLZH #network #summary #word
Content coverage maximization on word networks for hierarchical topic summarization (CW, XY, YL, CZ, JH), pp. 249–258.
CIKMCIKM-2013-YangQGZJSC #community #named
CQArank: jointly model topics and expertise in community question answering (LY, MQ, SG, FZ, JJ, HS, ZC), pp. 99–108.
ECIRECIR-2013-BolshakovaLN #modelling
Topic Models Can Improve Domain Term Extraction (EIB, NVL, MN), pp. 684–687.
ECIRECIR-2013-ChenC #analysis #multi #network #using
A Topic Person Multi-polarization Method Using Friendship Network Analysis (ZYC, CCC), pp. 688–692.
ECIRECIR-2013-JameelL #documentation #n-gram
An N-Gram Topic Model for Time-Stamped Documents (SJ, WL), pp. 292–304.
ECIRECIR-2013-KonishiKM #adaptation
Topic Model for User Reviews with Adaptive Windows (TK, FK, AM), pp. 730–733.
ECIRECIR-2013-MiyanishiSU #microblog
Combining Recency and Topic-Dependent Temporal Variation for Microblog Search (TM, KS, KU), pp. 331–343.
ECIRECIR-2013-MoensV #information retrieval #modelling #probability
Monolingual and Cross-Lingual Probabilistic Topic Models and Their Applications in Information Retrieval (MFM, IV), pp. 874–877.
ECIRECIR-2013-NarangNMSD #analysis #evolution #microblog #social
Discovery and Analysis of Evolving Topical Social Discussions on Unstructured Microblogs (KN, SN, SM, LVS, KD), pp. 545–556.
ECIRECIR-2013-SoodMV #chat #summary
Topic-Focused Summarization of Chat Conversations (AS, TPM, VV), pp. 800–803.
ECIRECIR-2013-VulicM #framework #modelling #probability
A Unified Framework for Monolingual and Cross-Lingual Relevance Modeling Based on Probabilistic Topic Models (IV, MFM), pp. 98–109.
ICMLICML-c1-2013-ZhuCPZ #algorithm #modelling #performance
Gibbs Max-Margin Topic Models with Fast Sampling Algorithms (JZ, NC, HP, BZ), pp. 124–132.
ICMLICML-c2-2013-AroraGHMMSWZ #algorithm #modelling
A Practical Algorithm for Topic Modeling with Provable Guarantees (SA, RG, YH, DMM, AM, DS, YW, MZ), pp. 280–288.
ICMLICML-c2-2013-DasBBG #automation #modelling
Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically (MKD, SB, CB, KG), pp. 253–261.
ICMLICML-c2-2013-KimVS #approximate #corpus #modelling
A Variational Approximation for Topic Modeling of Hierarchical Corpora (DkK, GMV, LKS), pp. 55–63.
ICMLICML-c2-2013-ShalitWC #modelling
Modeling Musical Influence with Topic Models (US, DW, GC), pp. 244–252.
ICMLICML-c3-2013-ChuangGMH
Topic Model Diagnostics: Assessing Domain Relevance via Topical Alignment (JC, SG, CDM, JH), pp. 612–620.
ICMLICML-c3-2013-DingRIS #random
Topic Discovery through Data Dependent and Random Projections (WD, MHR, PI, VS), pp. 1202–1210.
ICMLICML-c3-2013-KimS #approximate #modelling
Manifold Preserving Hierarchical Topic Models for Quantization and Approximation (MK, PS), pp. 1373–1381.
ICMLICML-c3-2013-WeinshallLH #word
LDA Topic Model with Soft Assignment of Descriptors to Words (DW, GL, DH), pp. 711–719.
KDDKDD-2013-DanilevskyWTNCDWH #mining #named #semistructured data
AMETHYST: a system for mining and exploring topical hierarchies of heterogeneous data (MD, CW, FT, SN, GC, ND, LW, JH), pp. 1458–1461.
KDDKDD-2013-TangZM #modelling #multi
One theme in all views: modeling consensus topics in multiple contexts (JT, MZ, QM), pp. 5–13.
KDDKDD-2013-WangDDZNTH #framework #mining #recursion
A phrase mining framework for recursive construction of a topical hierarchy (CW, MD, ND, YZ, PN, TT, JH), pp. 437–445.
KDDKDD-2013-YuanCMSM #twitter #what
Who, where, when and what: discover spatio-temporal topics for twitter users (QY, GC, ZM, AS, NMT), pp. 605–613.
KDDKDD-2013-ZhuYGM #analysis #modelling #scalability
Scalable text and link analysis with mixed-topic link models (YZ, XY, LG, CM), pp. 473–481.
KDDKDD-2013-ZhuZZZ #modelling #scalability
Scalable inference in max-margin topic models (JZ, XZ, LZ, BZ), pp. 964–972.
MLDMMLDM-2013-KokkulaM #classification #detection #synthesis
Classification and Outlier Detection Based on Topic Based Pattern Synthesis (SK, NMM), pp. 99–114.
MLDMMLDM-2013-LeeBZ #fuzzy #logic #multi #summary #using
Multi-document Text Summarization Using Topic Model and Fuzzy Logic (SL, SB, YZ), pp. 159–168.
MLDMMLDM-2013-LiM #community #mining #network
Mining Groups of Common Interest: Discovering Topical Communities with Network Flows (LL, NDM), pp. 405–420.
MLDMMLDM-2013-MartineauCF #algorithm #independence #named
TISA: Topic Independence Scoring Algorithm (JCM, DC, TF), pp. 555–570.
RecSysRecSys-2013-BelemSAG #recommendation
Topic diversity in tag recommendation (FB, RLTS, JMA, MAG), pp. 141–148.
RecSysRecSys-2013-HuE #modelling #online #recommendation #social #social media
Spatial topic modeling in online social media for location recommendation (BH, ME), pp. 25–32.
RecSysRecSys-2013-KrestelS #recommendation
Recommending patents based on latent topics (RK, PS), pp. 395–398.
RecSysRecSys-2013-McAuleyL #comprehension #overview #rating
Hidden factors and hidden topics: understanding rating dimensions with review text (JJM, JL), pp. 165–172.
SEKESEKE-2013-HeDWCL #collaboration
Comparing Collaborative Filtering Methods Based on User-Topic Ratings (TH, XD, WW, ZC, JL), pp. 312–317.
SIGIRSIGIR-2013-ChaBHC #analysis #modelling #network #social
Incorporating popularity in topic models for social network analysis (YC, BB, CCH, JC), pp. 223–232.
SIGIRSIGIR-2013-ChenALC #detection #microblog
Emerging topic detection for organizations from microblogs (YC, HA, ZL, TSC), pp. 43–52.
SIGIRSIGIR-2013-DeveaudSB
Estimating topical context by diverging from external resources (RD, ES, PB), pp. 1001–1004.
SIGIRSIGIR-2013-GangulyGLJ #feedback #named #navigation #user interface
TopicVis: a GUI for topic-based feedback and navigation (DG, MG, JL, GJFJ), pp. 1103–1104.
SIGIRSIGIR-2013-HingmireCPC #classification #documentation
Document classification by topic labeling (SH, SC, GKP, SC), pp. 877–880.
SIGIRSIGIR-2013-JameelL #order #segmentation #word
An unsupervised topic segmentation model incorporating word order (SJ, WL), pp. 203–212.
SIGIRSIGIR-2013-JiangN #mining #web
Mining web search topics with diverse spatiotemporal patterns (DJ, WN), pp. 881–884.
SIGIRSIGIR-2013-LiLSLC #automation #novel
A novel topic model for automatic term extraction (SL, JL, TS, WL, BC), pp. 885–888.
SIGIRSIGIR-2013-MaxwellC #query #using
Compact query term selection using topically related text (KTM, WBC), pp. 583–592.
SIGIRSIGIR-2013-MehrotraSBX #automation #microblog #modelling #twitter
Improving LDA topic models for microblogs via tweet pooling and automatic labeling (RM, SS, WLB, LX), pp. 889–892.
SIGIRSIGIR-2013-SakaiDYLZKSI #mining #summary
Summary of the NTCIR-10 INTENT-2 task: subtopic mining and search result diversification (TS, ZD, TY, YL, MZ, MPK, RS, MI), pp. 761–764.
SIGIRSIGIR-2013-WangZS #modelling #semantics #using
Semantic hashing using tags and topic modeling (QW, DZ, LS), pp. 213–222.
SIGIRSIGIR-2013-ZhuMZC #multi
Topic hierarchy construction for the organization of multi-source user generated contents (XZ, ZM, XZ, TSC), pp. 233–242.
ESEC-FSEESEC-FSE-2013-Lopez #ecosystem #evolution #modelling #using
Using topic models to understand the evolution of a software ecosystem (NL), pp. 723–726.
ICSEICSE-2013-PanichellaDOPPL #algorithm #approach #effectiveness #how #modelling #re-engineering #search-based
How to effectively use topic models for software engineering tasks? an approach based on genetic algorithms (AP, BD, RO, MDP, DP, ADL), pp. 522–531.
WICSA-ECSAWICSA-ECSA-2012-ElorantaHVK #architecture #documentation #generative #knowledge base #named #using
TopDocs: Using Software Architecture Knowledge Base for Generating Topical Documents (VPE, OH, TV, KK), pp. 191–195.
HTHT-2012-RecueroA #on the #twitter
On the rise of artificial trending topics in twitter (RR, RA), pp. 305–306.
JCDLJCDL-2012-BakalovMWM #modelling #taxonomy
Topic models for taxonomies (AB, AM, HMW, DMM), pp. 237–240.
JCDLJCDL-2012-NewmanNHB #learning
Learning topics and related passages in books (DN, YN, KH, AB), pp. 195–198.
ITiCSEITiCSE-2012-ChorH
CS1001.py: a topic-based introduction to computer science (BC, RH), pp. 215–220.
CSMRCSMR-2012-GrantCS #maintenance #modelling #using
Using Topic Models to Support Software Maintenance (SG, JRC, DBS), pp. 403–408.
ICPCICPC-2012-CorleyKK #modelling #source code
Modeling the ownership of source code topics (CSC, EAK, NAK), pp. 173–182.
ICSMEICSM-2012-HindleBZN #analysis #developer #implementation #question #requirements
Relating requirements to implementation via topic analysis: Do topics extracted from requirements make sense to managers and developers? (AH, CB, TZ, NN), pp. 243–252.
ICSMEICSM-2012-Yu #maintenance #modelling
Retrieving software maintenance history with topic models (SY), pp. 621–624.
MSRMSR-2012-ChenTNH #fault #modelling #using
Explaining software defects using topic models (THC, SWT, MN, AEH), pp. 189–198.
MSRMSR-2012-MartiePSL #android #debugging #roadmap
Trendy bugs: Topic trends in the Android bug reports (LM, VKP, HS, CVL), pp. 120–123.
WCREWCRE-2012-HanZFHWS #analysis #android #comprehension #debugging
Understanding Android Fragmentation with Topic Analysis of Vendor-Specific Bugs (DH, CZ, XF, AH, KW, ES), pp. 83–92.
CHICHI-2012-WangK #development #exclamation #twitter
Twitter and the development of an audience: those who stay on topic thrive! (YCW, RK), pp. 1515–1518.
CIKMCIKM-2012-BohmKN
Latent topics in graph-structured data (CB, GK, FN), pp. 2663–2666.
CIKMCIKM-2012-CaballeroBA #detection
The generalized dirichlet distribution in enhanced topic detection (KLCE, JB, RA), pp. 773–782.
CIKMCIKM-2012-Diaz-AvilesDGSN #online #recommendation #twitter #what
What is happening right now ... that interests me?: online topic discovery and recommendation in twitter (EDA, LD, ZG, LST, WN), pp. 1592–1596.
CIKMCIKM-2012-GaoLD #modelling #social #social media #summary
Joint topic modeling for event summarization across news and social media streams (WG, PL, KD), pp. 1173–1182.
CIKMCIKM-2012-JiangVLN #framework #named #web
G-WSTD: a framework for geographic web search topic discovery (DJ, JV, KWTL, WN), pp. 1143–1152.
CIKMCIKM-2012-JiXWH #community #retrieval
Question-answer topic model for question retrieval in community question answering (ZJ, FX, BW, BH), pp. 2471–2474.
CIKMCIKM-2012-Kawamae #word
Theme chronicle model: chronicle consists of timestamp and topical words over each theme (NK), pp. 2065–2069.
CIKMCIKM-2012-KimKKO #modelling #process #recursion
Modeling topic hierarchies with the recursive chinese restaurant process (JHK, DK, SK, AHO), pp. 783–792.
CIKMCIKM-2012-KimZRDHCL #mining #named
InCaToMi: integrative causal topic miner between textual and non-textual time series data (HDK, CZ, TAR, DD, MH, MC, CCL), pp. 2689–2691.
CIKMCIKM-2012-KoolenKK #evaluation #social
Social book search: comparing topical relevance judgements and book suggestions for evaluation (MK, JK, GK), pp. 185–194.
CIKMCIKM-2012-KulkarniTHC #estimation #ranking
Shard ranking and cutoff estimation for topically partitioned collections (AK, AST, DH, JC), pp. 555–564.
CIKMCIKM-2012-LiangXTC #recommendation
Time-aware topic recommendation based on micro-blogs (HL, YX, DT, PC), pp. 1657–1661.
CIKMCIKM-2012-LiHTH #correlation #information management #semantics #word
Incorporating word correlation into tag-topic model for semantic knowledge acquisition (FL, TH, XT, XH), pp. 1622–1626.
CIKMCIKM-2012-LiSSTDL #microblog #mining
Mining topic-level opinion influence in microblog (DL, XS, GS, JT, YD, ZL), pp. 1562–1566.
CIKMCIKM-2012-MaoHYL #integration #modelling
Hierarchical topic integration through semi-supervised hierarchical topic modeling (XM, JH, HY, XL), pp. 1612–1616.
CIKMCIKM-2012-MaoMZCYL #automation
Automatic labeling hierarchical topics (XM, ZM, ZJZ, TSC, HY, XL), pp. 2383–2386.
CIKMCIKM-2012-MasadaT #gpu
Extraction of topic evolutions from references in scientific articles and its GPU acceleration (TM, AT), pp. 1522–1526.
CIKMCIKM-2012-MaSYC #summary
Topic-driven reader comments summarization (ZM, AS, QY, GC), pp. 265–274.
CIKMCIKM-2012-RenCJ #learning
Topic based pose relevance learning in dance archives (RR, JPC, JMJ), pp. 2571–2574.
CIKMCIKM-2012-TangY #detection #named #roadmap #social #social media #statistics
TUT: a statistical model for detecting trends, topics and user interests in social media (XT, CCY), pp. 972–981.
CIKMCIKM-2012-VydiswaranZRP #education #named
BiasTrust: teaching biased users about controversial topics (VGVV, CZ, DR, PP), pp. 1905–1909.
CIKMCIKM-2012-WangHTH #network
Author-conference topic-connection model for academic network search (JW, XH, XT, TH), pp. 2179–2183.
CIKMCIKM-2012-WeningerBH #documentation #graph
Document-topic hierarchies from document graphs (TW, YB, JH), pp. 635–644.
CIKMCIKM-2012-XiangFWHR #corpus #detection #scalability #twitter
Detecting offensive tweets via topical feature discovery over a large scale twitter corpus (GX, BF, LW, JIH, CPR), pp. 1980–1984.
CIKMCIKM-2012-ZhouCLZ #automation
Exploring the existing category hierarchy to automatically label the newly-arising topics in cQA (GZ, LC, KL, JZ), pp. 1647–1651.
CIKMCIKM-2012-ZhouLLZ #community #probability
Topic-sensitive probabilistic model for expert finding in question answer communities (GZ, SL, KL, JZ), pp. 1662–1666.
ECIRECIR-2012-DasMG #classification #identification
Phrase Pair Classification for Identifying Subtopics (SD, PM, CLG), pp. 489–493.
ECIRECIR-2012-VitaleFS #classification
Classification of Short Texts by Deploying Topical Annotations (DV, PF, US), pp. 376–387.
ICMLICML-2012-BischofA
Capturing topical content with frequency and exclusivity (JB, EA), p. 5.
ICMLICML-2012-ChenDB #metric #modelling #normalisation #random
Dependent Hierarchical Normalized Random Measures for Dynamic Topic Modeling (CC, ND, WLB), p. 95.
ICMLICML-2012-KimKO #metric #parametricity #process #random
Dirichlet Process with Mixed Random Measures: A Nonparametric Topic Model for Labeled Data (DK, SK, AHO), p. 90.
ICMLICML-2012-PurushothamL #collaboration #matrix #recommendation #social
Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems (SP, YL), p. 92.
ICMLICML-2012-SpiliopoulouS #sequence
A Topic Model for Melodic Sequences (AS, AJS), p. 106.
ICPRICPR-2012-DeyG #behaviour #consistency #twitter
Discovering regular and consistent behavioral patterns in topical tweeting (LD, BG), pp. 3464–3467.
ICPRICPR-2012-GujraniyaM #classification #modelling #performance #using
Efficient classification using phrases generated by topic models (DG, MNM), pp. 2331–2334.
ICPRICPR-2012-YuCQW #correlation #multi #retrieval
Cross-modal topic correlations for multimedia retrieval (JY, YC, ZQ, TW), pp. 246–249.
KDDKDD-2012-BawabMC #personalisation #query #recommendation
Finding trending local topics in search queries for personalization of a recommendation system (ZAB, GHM, JFC), pp. 397–405.
KDDKDD-2012-ChenZC
The contextual focused topic model (XC, MZ, LC), pp. 96–104.
KDDKDD-2012-MengWLZLW #summary #twitter
Entity-centric topic-oriented opinion summarization in twitter (XM, FW, XL, MZ, SL, HW), pp. 379–387.
KDDKDD-2012-TangWYHZYGHXLU #analysis #mining #named
PatentMiner: topic-driven patent analysis and mining (JT, BW, YY, PH, YZ, XY, BG, MH, PX, WL, AKU), pp. 1366–1374.
KDDKDD-2012-WangAB #modelling #named #online #performance #social #social media
TM-LDA: efficient online modeling of latent topic transitions in social media (YW, EA, MB), pp. 123–131.
KDIRKDIR-2012-MiaoLWZ #infinity #modelling #process #semantics #wiki
Infinite Topic Modelling for Trend Tracking — Hierarchical Dirichlet Process Approaches with Wikipedia Semantic based Method (YM, CL, HW, LZ), pp. 35–44.
KEODKEOD-2012-FukumotoST #detection #multi #summary
Topic and Subject Detection in News Streams for Multi-document Summarization (FF, YS, AT), pp. 166–171.
RecSysRecSys-2012-HaririMB #music #recommendation
Context-aware music recommendation based on latenttopic sequential patterns (NH, BM, RDB), pp. 131–138.
SIGIRSIGIR-2012-ArnoldS
A topic model of clinical reports (CWA, WS), pp. 1031–1032.
SIGIRSIGIR-2012-CaballeroA #feedback #statistics
Incorporating statistical topic information in relevance feedback (KLCE, RA), pp. 1093–1094.
SIGIRSIGIR-2012-ChaC #analysis #modelling #using
Social-network analysis using topic models (YC, JC), pp. 565–574.
SIGIRSIGIR-2012-GhoshSBGG #crowdsourcing #microblog #named
Cognos: crowdsourcing search for topic experts in microblogs (SG, NKS, FB, NG, PKG), pp. 575–590.
SIGIRSIGIR-2012-HeHV
Combining implicit and explicit topic representations for result diversification (JH, VH, APdV), pp. 851–860.
SIGIRSIGIR-2012-HuQLJPZ #mining #query
Mining query subtopics from search log data (YH, YnQ, HL, DJ, JP, QZ), pp. 305–314.
SIGIRSIGIR-2012-RobertsonK #evaluation #information retrieval #on the
On per-topic variance in IR evaluation (SER, EK), pp. 891–900.
SIGIRSIGIR-2012-Tran #modelling #retrieval #social #social media
Exploiting temporal topic models in social media retrieval (TAT), p. 999.
SIGIRSIGIR-2012-WangCXL #matrix #modelling #scalability
Group matrix factorization for scalable topic modeling (QW, ZC, JX, HL), pp. 375–384.
ASEASE-2012-NguyenNNLS #debugging #detection #information retrieval #modelling
Duplicate bug report detection with a combination of information retrieval and topic modeling (ATN, TTN, TNN, DL, CS), pp. 70–79.
SACSAC-2012-ChengZQ #detection #fine-grained
Fine-grained topic detection in news search results (JC, JZ, SQ), pp. 912–917.
WRLAWRLA-J-2010-Marti-OlietPV12 #logic #overview
Rewriting logic bibliography by topic: 1990-2011 (NMO, MP, AV), pp. 782–815.
DocEngDocEng-2011-RossiR #representation #using
Building a topic hierarchy using the bag-of-related-words representation (RGR, SOR), pp. 195–204.
JCDLJCDL-2011-HaqueG #concept
Phrases as subtopical concepts in scholarly text (AuH, PG), pp. 25–28.
JCDLJCDL-2011-SpagnolaL #matter #order #word
Word order matters: measuring topic coherence with lexical argument structure (SS, CL), pp. 21–24.
SIGMODSIGMOD-2011-AlvanakiMRW #detection #named #web
EnBlogue: emergent topic detection in web 2.0 streams (FA, SM, KR, GW), pp. 1271–1274.
MSRMSR-2011-BernardiSZDP #question #what
What topics do Firefox and Chrome contributors discuss? (MLB, CS, QZ, DD, MDP), pp. 234–237.
MSRMSR-2011-HindleEGM #analysis #automation #maintenance #process
Automated topic naming to support cross-project analysis of software maintenance activities (AH, NAE, MWG, JM), pp. 163–172.
MSRMSR-2011-ThomasAHB #evolution #modelling #source code
Modeling the evolution of topics in source code histories (SWT, BA, AEH, DB), pp. 173–182.
SCAMSCAM-2011-KellyAAH #overview
Recovering a Balanced Overview of Topics in a Software Domain (MBK, JSA, BA, AEH), pp. 135–144.
WCREWCRE-2011-WangLJ #code search #dependence #graph
Code Search via Topic-Enriched Dependence Graph Matching (SW, DL, LJ), pp. 119–123.
HCIHCI-DDA-2011-KogaT #recommendation #twitter #using
Developing a User Recommendation Engine on Twitter Using Estimated Latent Topics (HK, TT), pp. 461–470.
CIKMCIKM-2011-AielloDOM #behaviour #clustering #query
Behavior-driven clustering of queries into topics (LMA, DD, UO, FM), pp. 1373–1382.
CIKMCIKM-2011-AwadallahRW #comprehension #named #network
OpinioNetIt: understanding the opinions-people network for politically controversial topics (RA, MR, GW), pp. 2481–2484.
CIKMCIKM-2011-BingLW #query #social #using
Using query log and social tagging to refine queries based on latent topics (LB, WL, TLW), pp. 583–592.
CIKMCIKM-2011-JinLZYY #clustering
Transferring topical knowledge from auxiliary long texts for short text clustering (OJ, NNL, KZ, YY, QY), pp. 775–784.
CIKMCIKM-2011-KasiviswanathanMBS #detection #learning #taxonomy #using
Emerging topic detection using dictionary learning (SPK, PM, AB, VS), pp. 745–754.
CIKMCIKM-2011-LuCAK #clustering #documentation #segmentation
Legal document clustering with built-in topic segmentation (QL, JGC, KAK, WK), pp. 383–392.
CIKMCIKM-2011-RenMWL #process #thread #web
Summarizing web forum threads based on a latent topic propagation process (ZR, JM, SW, YL), pp. 879–884.
CIKMCIKM-2011-SachanCFS #community #network #probability #social
Probabilistic model for discovering topic based communities in social networks (MS, DC, TAF, LVS), pp. 2349–2352.
CIKMCIKM-2011-SannerGGKK #optimisation #retrieval
Diverse retrieval via greedy optimization of expected 1-call@k in a latent subtopic relevance model (SS, SG, TG, SK, SK), pp. 1977–1980.
CIKMCIKM-2011-WangWLZZ #analysis #approach #classification #graph #hashtag #sentiment #twitter
Topic sentiment analysis in twitter: a graph-based hashtag sentiment classification approach (XW, FW, XL, MZ, MZ), pp. 1031–1040.
CIKMCIKM-2011-XueY #modelling #query
Topic modeling for named entity queries (XX, XY), pp. 2009–2012.
CIKMCIKM-2011-ZubiagaSFM #twitter
Classifying trending topics: a typology of conversation triggers on Twitter (AZ, DS, VF, RM), pp. 2461–2464.
ECIRECIR-2011-GyllstromM #query
Clash of the Typings — Finding Controversies and Children’s Topics Within Queries (KG, MFM), pp. 80–91.
ECIRECIR-2011-ItakuraCGTH #wiki
Topical and Structural Linkage in Wikipedia (KYI, CLAC, SG, AT, WCH), pp. 460–465.
ECIRECIR-2011-KinsellaPB #classification #metadata #social #social media #using
Topic Classification in Social Media Using Metadata from Hyperlinked Objects (SK, AP, JGB), pp. 201–206.
ECIRECIR-2011-NaveedSS #comprehension #evolution #named
ATTention: Understanding Authors and Topics in Context of Temporal Evolution (NN, SS, SS), pp. 733–737.
ECIRECIR-2011-Robertson #evaluation #on the
On the Contributions of Topics to System Evaluation (SR), pp. 129–140.
ECIRECIR-2011-WartenaW #recommendation
Improving Tag-Based Recommendation by Topic Diversification (CW, MW), pp. 43–54.
ECIRECIR-2011-ZhaoJWHLYL #modelling #twitter #using
Comparing Twitter and Traditional Media Using Topic Models (WXZ, JJ, JW, JH, EPL, HY, XL), pp. 338–349.
ICMLICML-2011-ChenDC #markov #modelling #parametricity
Topic Modeling with Nonparametric Markov Tree (HC, DBD, LC), pp. 377–384.
ICMLICML-2011-LiZSC #integration #learning #modelling #on the #taxonomy
On the Integration of Topic Modeling and Dictionary Learning (LL, MZ, GS, LC), pp. 625–632.
KDDKDD-2011-AndrzejewskiB #feedback #information retrieval
Latent topic feedback for information retrieval (DA, DB), pp. 600–608.
KDDKDD-2011-DengHZYL #modelling #network #probability
Probabilistic topic models with biased propagation on heterogeneous information networks (HD, JH, BZ, YY, CXL), pp. 1271–1279.
KDDKDD-2011-HongDGT #multi
A time-dependent topic model for multiple text streams (LH, BD, SG, KT), pp. 832–840.
KDDKDD-2011-HongYGD #modelling #roadmap
Tracking trends: incorporating term volume into temporal topic models (LH, DY, JG, BDD), pp. 484–492.
KDDKDD-2011-KatariaKRSS #ambiguity #modelling
Entity disambiguation with hierarchical topic models (SK, KSK, RR, PS, SHS), pp. 1037–1045.
KDDKDD-2011-LinSM #adaptation #modelling #online #twitter
Smoothing techniques for adaptive online language models: topic tracking in tweet streams (JL, RS, WM), pp. 422–429.
KDDKDD-2011-RamageMD #mining #modelling
Partially labeled topic models for interpretable text mining (DR, CDM, STD), pp. 457–465.
KDDKDD-2011-TangWGW #network #social
Topic-level social network search (JT, SW, BG, YW), pp. 769–772.
KDDKDD-2011-WangB #collaboration #modelling #recommendation
Collaborative topic modeling for recommending scientific articles (CW, DMB), pp. 448–456.
KDDKDD-2011-ZhuLCX #performance
Conditional topical coding: an efficient topic model conditioned on rich features (JZ, NL, NC, EPX), pp. 475–483.
MLDMMLDM-2011-JiangMY #analysis #sentiment
Topic Sentiment Change Analysis (YJ, WM, CTY), pp. 443–457.
RecSysRecSys-2011-Makrehchi #learning #recommendation #social
Social link recommendation by learning hidden topics (MM), pp. 189–196.
SEKESEKE-2011-Han #database
Quick Acquisition of Topic-based Information/Knowledge from News Site Databases (HH), pp. 343–348.
SIGIRSIGIR-2011-DengZH #modelling #network
Collective topic modeling for heterogeneous networks (HD, BZ, JH), pp. 1109–1110.
SIGIRSIGIR-2011-KarimiSCK #behaviour
Domain expert topic familiarity and search behavior (SK, FS, AC, SK), pp. 1135–1136.
SIGIRSIGIR-2011-Zhai #analysis #modelling #statistics
Beyond search: statistical topic models for text analysis (CZ), pp. 3–4.
SIGIRSIGIR-2011-ZhengGYXBSHY #community #mining
Mining topics on participations for community discovery (GZ, JG, LY, SX, SB, ZS, DH, YY), pp. 445–454.
BXBX-2011-Gibbons #bidirectional #programming
HOT Topics in Bidirectional Programming (JG), p. 56.
ASEASE-2011-NguyenNANN #approach #debugging
A topic-based approach for narrowing the search space of buggy files from a bug report (ATN, TTN, JMAK, HVN, TNN), pp. 263–272.
ICSEICSE-2011-GethersSPOPL #named #question
CodeTopics: which topic am I coding now? (MG, TS, MDP, RO, DP, ADL), pp. 1034–1036.
ICSEICSE-2011-NguyenNP #fault #predict
Topic-based defect prediction (TTN, TNN, TMP), pp. 932–935.
ICSEICSE-2011-Thomas #mining #modelling #repository #using
Mining software repositories using topic models (SWT), pp. 1138–1139.
DocEngDocEng-2010-DubucB #clustering #social #social media
Structure-aware topic clustering in social media (JD, SB), pp. 247–250.
TPDLECDL-2010-PirkolaT #quality #web
A Topic-Specific Web Search System Focusing on Quality Pages (AP, TT), pp. 490–493.
HTHT-2010-GuoJ #collaboration #personalisation #recommendation
Topic-based personalized recommendation for collaborative tagging system (YG, JBDJ), pp. 61–66.
HTHT-2010-MeissGRFM #navigation #web
Agents, bookmarks and clicks: a topical model of web navigation (MM, BG, JJR, AF, FM), pp. 229–234.
JCDLJCDL-2010-NewmanNTKB #library #modelling
Evaluating topic models for digital libraries (DN, YN, EMT, SK, TB), pp. 215–224.
VLDBVLDB-2010-SmolaN #architecture #modelling #parallel
An Architecture for Parallel Topic Models (AJS, SMN), pp. 703–710.
EDMEDM-2010-CadeO #modelling #using
Using Topic Models to Bridge Coding Schemes of Differing Granularity (WLC, AO), pp. 281–282.
EDMEDM-2010-LehmanCO #learning
Off Topic Conversation in Expert Tutoring: Waste of Time or Learning Opportunity (BL, WLC, AO), pp. 101–110.
ITiCSEITiCSE-2010-Larraza-MendiluzeG #game studies #learning #process #using
Changing the learning process of the input/output topic using a game in a portable console (ELM, NGV), p. 316.
ICSMEICSM-2010-GethersP #modelling #object-oriented #relational #using
Using Relational Topic Models to capture coupling among classes in object-oriented software systems (MG, DP), pp. 1–10.
ICSMEICSM-2010-SavageDGP #named #source code #using
TopicXP: Exploring topics in source code using Latent Dirichlet Allocation (TS, BD, MG, DP), pp. 1–6.
SCAMSCAM-2010-ThomasAHB #evolution #modelling #using #validation
Validating the Use of Topic Models for Software Evolution (SWT, BA, AEH, DB), pp. 55–64.
CHICHI-2010-BaoGGH #named
Momentum: getting and staying on topic during a brainstorm (PB, EG, DG, DH), pp. 1233–1236.
CSCWCSCW-2010-GeyerD
Inspired by the audience: a topic suggestion system for blog writers and readers (WG, CD), pp. 237–240.
CIKMCIKM-2010-CarmanCHB #modelling #personalisation #query #towards #using
Towards query log based personalization using topic models (MJC, FC, MH, MB), pp. 1849–1852.
CIKMCIKM-2010-ChenHZLRHP #automation #image #probability
A probabilistic topic-connection model for automatic image annotation (XC, XH, ZZ, CL, GR, TH, EKP), pp. 899–908.
CIKMCIKM-2010-HanZ #semantics #web #wiki
Topic-driven web search result organization by leveraging wikipedia semantic knowledge (XH, JZ), pp. 1749–1752.
CIKMCIKM-2010-HarveyRC #modelling #ranking #social #using
Ranking social bookmarks using topic models (MH, IR, MJC), pp. 1401–1404.
CIKMCIKM-2010-JeongT #multi #segmentation
Multi-document topic segmentation (MJ, IT), pp. 1119–1128.
CIKMCIKM-2010-Kawamae
Latent interest-topic model: finding the causal relationships behind dyadic data (NK), pp. 649–658.
CIKMCIKM-2010-LiHDTSQYLD #modelling #social
Community-based topic modeling for social tagging (DL, BH, YD, JT, CRS, ZQ, EY, JL, TD), pp. 1565–1568.
CIKMCIKM-2010-LiSDX #multi #summary
Exploiting novelty, coverage and balance for topic-focused multi-document summarization (XL, YDS, LD, CYX), pp. 1765–1768.
CIKMCIKM-2010-LiuTHJY #mining #network
Mining topic-level influence in heterogeneous networks (LL, JT, JH, MJ, SY), pp. 199–208.
CIKMCIKM-2010-MadaniY #analysis
Discovery of numerous specific topics via term co-occurrence analysis (OM, JY), pp. 1841–1844.
CIKMCIKM-2010-MiaoLTZ #approach #category theory #community #identification #modelling
Identifying new categories in community question answering archives: a topic modeling approach (YM, CL, JT, LZ), pp. 1673–1676.
CIKMCIKM-2010-MinZWM #component #keyword
Decomposing background topics from keywords by principal component pursuit (KM, ZZ, JW, YM), pp. 269–278.
CIKMCIKM-2010-NguyenKPT #image
A feature-word-topic model for image annotation (CTN, NK, XHP, TT), pp. 1481–1484.
CIKMCIKM-2010-ShenWL #analysis #multi #summary
Topic aspect analysis for multi-document summarization (CS, DW, TL), pp. 1545–1548.
CIKMCIKM-2010-TianWWRCM #detection #mobile
Topic detection and organization of mobile text messages (YT, WW, XW, JR, CC, JM), pp. 1877–1880.
CIKMCIKM-2010-WestPP #automation #documentation
Automatically suggesting topics for augmenting text documents (RW, DP, JP), pp. 929–938.
CIKMCIKM-2010-ZhangSZBA #documentation #mining #named #parallel #probability
PTM: probabilistic topic mapping model for mining parallel document collections (DZ, JS, CZ, AB, NA), pp. 1653–1656.
CIKMCIKM-2010-ZhengGYXBSHY #community #graph #interactive
A topical link model for community discovery in textual interaction graph (GZ, JG, LY, SX, SB, ZS, DH, YY), pp. 1613–1616.
ECIRECIR-2010-DaiDW #mining
Mining Neighbors’ Topicality to Better Control Authority Flow (ND, BDD, YW), pp. 653–657.
ECIRECIR-2010-HarveyBRC #modelling #personalisation
Tripartite Hidden Topic Models for Personalised Tag Suggestion (MH, MB, IR, MJC), pp. 432–443.
ECIRECIR-2010-JagarlamudiD #corpus #multi
Extracting Multilingual Topics from Unaligned Comparable Corpora (JJ, HDI), pp. 444–456.
ICMLICML-2010-ReisingerWSM #modelling
Spherical Topic Models (JR, AW, BS, RJM), pp. 903–910.
ICMLICML-2010-WilliamsonWHB #modelling #process
The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling (SW, CW, KAH, DMB), pp. 1151–1158.
ICMLICML-2010-ZhuX #random
Conditional Topic Random Fields (JZ, EPX), pp. 1239–1246.
ICPRICPR-2010-BicegoLFD #array #clustering #modelling
Biclustering of Expression Microarray Data with Topic Models (MB, PL, AF, MD), pp. 2728–2731.
ICPRICPR-2010-CheongL #case study #clustering #detection #twitter
A Study on Detecting Patterns in Twitter Intra-topic User and Message Clustering (MC, VCSL), pp. 3125–3128.
ICPRICPR-2010-ErgulA #classification #using
Scene Classification Using Spatial Pyramid of Latent Topics (EE, NA), pp. 3603–3606.
ICPRICPR-2010-JinLLWG #ranking
Topic-Sensitive Tag Ranking (YJ, RL, ZL, KW, XG), pp. 629–632.
KDDKDD-2010-HeP
Topic dynamics: an alternative model of bursts in streams of topics (DH, DSPJ), pp. 443–452.
KDDKDD-2010-HuhF #learning #modelling
Discriminative topic modeling based on manifold learning (SH, SEF), pp. 653–662.
KDDKDD-2010-IwataYSU #modelling #multi #online
Online multiscale dynamic topic models (TI, TY, YS, NU), pp. 663–672.
KDDKDD-2010-LuHCPHL #social
The topic-perspective model for social tagging systems (CL, XH, XC, JrP, TH, ZL), pp. 683–692.
KDDKDD-2010-SatoN #modelling #process #using
Topic models with power-law using Pitman-Yor process (IS, HN), pp. 673–682.
KDIRKDIR-2010-ScheinCHM #evaluation #novel
Author Attribution Evaluation with Novel Topic Cross-validation (AIS, JFC, RJH, CHM), pp. 206–215.
RecSysRecSys-2010-Schirru #enterprise #platform #recommendation #social #social media
Topic-based recommendations in enterprise social media sharing platforms (RS), pp. 369–372.
SEKESEKE-2010-MarcaciniR #clustering #incremental #using
Incremental Construction of Topic Hierarchies using Hierarchical Term Clustering (RMM, SOR), p. 553.
SIGIRSIGIR-2010-AmatiACGG #on the #performance #retrieval
On performance of topical opinion retrieval (GA, GA, VC, CG, GG), pp. 777–778.
SIGIRSIGIR-2010-ArapakisAJ #comparison #modelling #personalisation #predict
A comparison of general vs personalised affective models for the prediction of topical relevance (IA, KA, JMJ), pp. 371–378.
SIGIRSIGIR-2010-Kawamae10a
Author interest topic model (NK), pp. 887–888.
SIGIRSIGIR-2010-RadlinskiSC #metric #set
Metrics for assessing sets of subtopics (FR, MS, NC), pp. 853–854.
SIGIRSIGIR-2010-RajuKU #web
Suggesting related topics in web search (SR, SK, RU), p. 705.
SIGIRSIGIR-2010-ZucconAHR #retrieval
Estimating interference in the QPRP for subtopic retrieval (GZ, LA, CH, KvR), pp. 741–742.
ICSEICSE-2010-AsuncionAT #modelling #traceability
Software traceability with topic modeling (HUA, AUA, RNT), pp. 95–104.
SACSAC-2010-BicegoLOP #array #classification #modelling #using
Expression microarray classification using topic models (MB, PL, BO, AP), pp. 1516–1520.
DocEngDocEng-2009-SteinbergerJ #novel #summary
Update summarization based on novel topic distribution (JS, KJ), pp. 205–213.
DRRDRR-2009-Ding #analysis #documentation #image #recognition #research
Advanced topics in character recognition and document analysis: Research works in Intelligent Image & Document Research Lab, Tsinghua University (XD), pp. 1–10.
TPDLECDL-2009-VakkariT
Comparing Google to Ask-a-Librarian Service for Answering Factual and Topical Questions (PV, MT), pp. 352–363.
HTHT-2009-BruckschenVR #navigation #ontology #ranking
Named entities for hot topics ranking and ontology navigation aid (MB, RV, SJR), pp. 373–374.
ICDARICDAR-2009-MansjurWJ #automation #categorisation #classification #kernel #learning #using
Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization (DSM, TSW, BHJ), pp. 1086–1090.
JCDLJCDL-2009-BethardGMS #automation #identification
Topic model methods for automatically identifying out-of-scope resources (SB, SG, JHM, TS), pp. 19–28.
JCDLJCDL-2009-BolelliEZG #library #roadmap
Finding topic trends in digital libraries (LB, SE, DZ, CLG), pp. 69–72.
VLDBVLDB-2009-Rajaraman #named #using #web
Kosmix: High-Performance Topic Exploration using the Deep Web (AR), pp. 1524–1529.
ITiCSEITiCSE-2009-DennyLHP #repository #student
Coverage of course topics in a student generated MCQ repository (PD, ALR, JH, HCP), pp. 11–15.
ICSMEICSM-2009-HindleGH #analysis #developer #what
What’s hot and what’s not: Windowed developer topic analysis (AH, MWG, RCH), pp. 339–348.
ICSMEICSM-2009-LiuPFGC #modelling
Modeling class cohesion as mixtures of latent topics (YL, DP, RF, TG, NC), pp. 233–242.
MSRMSR-2009-BajracharyaL #code search #mining
Mining search topics from a code search engine usage log (SKB, CVL), pp. 111–120.
MSRMSR-2009-LinsteadB #debugging #gnome #mining #modelling #statistics
Mining the coherence of GNOME bug reports with statistical topic models (EL, PB), pp. 99–102.
CHICHI-2009-BergstromK #clustering #human-computer
Conversation clusters: grouping conversation topics through human-computer dialog (TB, KK), pp. 2349–2352.
CHICHI-2009-KitturCS #using #what #wiki
What’s in Wikipedia?: mapping topics and conflict using socially annotated category structure (AK, EHC, BS), pp. 1509–1512.
HCIOCSC-2009-ZhaoYGL #analysis #modelling
Propagation Modeling and Analysis of Incidental Topics in Blogosphere (LZ, RY, XG, ML), pp. 401–410.
CIKMCIKM-2009-BalasubramanianC #automation #generative #modelling #using
Automatic generation of topic pages using query-based aspect models (NB, SC), pp. 2049–2052.
CIKMCIKM-2009-CarteretteC #documentation #modelling #novel #probability #ranking #retrieval
Probabilistic models of ranking novel documents for faceted topic retrieval (BC, PC), pp. 1287–1296.
CIKMCIKM-2009-ChenLAA #image #learning #modelling #online #probability
Probabilistic models for topic learning from images and captions in online biomedical literatures (XC, CL, YA, PA), pp. 495–504.
CIKMCIKM-2009-HauffHJA #estimation #ranking #set
Relying on topic subsets for system ranking estimation (CH, DH, FdJ, LA), pp. 1859–1862.
CIKMCIKM-2009-HeCPQMG #detection #evolution #how #question
Detecting topic evolution in scientific literature: how can citations help? (QH, BC, JP, BQ, PM, CLG), pp. 957–966.
CIKMCIKM-2009-LeeVRKMI #adaptation #performance #using
Measuring system performance and topic discernment using generalized adaptive-weight mean (CTL, VV, EMR, GK, NMF, AI), pp. 2033–2036.
CIKMCIKM-2009-LinH #analysis #sentiment
Joint sentiment/topic model for sentiment analysis (CL, YH), pp. 375–384.
CIKMCIKM-2009-LiuZPQCL #analysis #interactive #summary #visual notation
Interactive, topic-based visual text summarization and analysis (SL, MXZ, SP, WQ, WC, XL), pp. 543–552.
CIKMCIKM-2009-MasadaFTHSO #analysis #optimisation
Dynamic hyperparameter optimization for bayesian topical trend analysis (TM, DF, AT, TH, YS, KO), pp. 1831–1834.
CIKMCIKM-2009-MisraYJC #modelling #segmentation
Text segmentation via topic modeling: an analytical study (HM, FY, JMJ, OC), pp. 1553–1556.
CIKMCIKM-2009-QianLLXSS #community #development #what
What’s behind topic formation and development: a perspective of community core groups (TQ, QL, BL, HX, JS, PCYS), pp. 1843–1846.
CIKMCIKM-2009-RachakondaS #using
Finding the topical anchors of a context using lexical cooccurrence data (ARR, SS), pp. 1741–1744.
CIKMCIKM-2009-SongPLZQ #keyword #modelling #ranking
Topic and keyword re-ranking for LDA-based topic modeling (YS, SP, SL, MXZ, WQ), pp. 1757–1760.
CIKMCIKM-2009-Wan #analysis #multi #summary
Topic analysis for topic-focused multi-document summarization (XW), pp. 1609–1612.
CIKMCIKM-2009-WangCH #algorithm #clustering #performance #scalability #web
An efficient clustering algorithm for large-scale topical web pages (LW, PC, LH), pp. 1851–1854.
ECIRECIR-2009-BaillieCC #distributed #information retrieval #quality
A Topic-Based Measure of Resource Description Quality for Distributed Information Retrieval (MB, MJC, FC), pp. 485–496.
ECIRECIR-2009-BolelliEG #detection #using
Topic and Trend Detection in Text Collections Using Latent Dirichlet Allocation (LB, SE, CLG), pp. 776–780.
ECIRECIR-2009-YiA #case study #comparative #information retrieval #modelling
A Comparative Study of Utilizing Topic Models for Information Retrieval (XY, JA), pp. 29–41.
ICMLICML-2009-AndrzejewskiZC #modelling
Incorporating domain knowledge into topic modeling via Dirichlet Forest priors (DA, XZ, MC), pp. 25–32.
ICMLICML-2009-DoyleE #modelling
Accounting for burstiness in topic models (GD, CE), pp. 281–288.
ICMLICML-2009-LiuNG #community #modelling
Topic-link LDA: joint models of topic and author community (YL, ANM, WG), pp. 665–672.
ICMLICML-2009-PutthividhyaAN #independence #modelling
Independent factor topic models (DP, HTA, SSN), pp. 833–840.
ICMLICML-2009-WallachMSM #evaluation #modelling
Evaluation methods for topic models (HMW, IM, RS, DMM), pp. 1105–1112.
ICMLICML-2009-ZhuAX #classification #modelling #named
MedLDA: maximum margin supervised topic models for regression and classification (JZ, AA, EPX), pp. 1257–1264.
KDDKDD-2009-AhmedXCM #biology #mining #modelling
Structured correspondence topic models for mining captioned figures in biological literature (AA, EPX, WWC, RFM), pp. 39–48.
KDDKDD-2009-YaoMM #documentation #model inference #performance #streaming
Efficient methods for topic model inference on streaming document collections (LY, DMM, AM), pp. 937–946.
KDIRKDIR-2009-Biryukov #database #detection
Topic Detection in Bibliographic Databases (MB), pp. 236–242.
KDIRKDIR-2009-CamposDJ #clustering #web
Disambiguating Web Search Results by Topic and Temporal Clustering — A Proposal (RC, GD, AMJ), pp. 292–296.
KDIRKDIR-2009-Fernandez-FernandezG #mining #query #taxonomy
Hierarchical Taxonomy Extraction by Mining Topical Query Sessions (MFF, DGA), pp. 229–235.
KDIRKDIR-2009-HeyerHT
Change of Topics over Time — Tracking Topics by their Change of Meaning (GH, FH, ST), pp. 223–228.
RecSysRecSys-2009-PhelanMS #realtime #recommendation #twitter #using
Using twitter to recommend real-time topical news (OP, KM, BS), pp. 385–388.
SIGIRSIGIR-2009-ArapakisKJK #modelling #predict
Modeling facial expressions and peripheral physiological signals to predict topical relevance (IA, IK, JMJ, IK), pp. 728–729.
SIGIRSIGIR-2009-BaileyKG
Undergraduates’ evaluations of assigned search topics (EWB, DK, KG), pp. 812–813.
SIGIRSIGIR-2009-BolourianMR #named #quantifier #using
SugarCube: quantification of topic propagation in the blogosphere using percolation theory (AAB, YM, CJvR), pp. 786–787.
SIGIRSIGIR-2009-CartrightAD
Characterizing the subjectivity of topics (MAC, EA, JD), pp. 642–643.
SIGIRSIGIR-2009-ChangDLZ #ranking
Enhancing topical ranking with preferences from click-through data (YC, AD, CL, ZZ), pp. 666–667.
SIGIRSIGIR-2009-GuoZCZG #documentation
A latent topic model for linked documents (ZG, SZ, YC, ZZ, YG), pp. 720–721.
SIGIRSIGIR-2009-Ha-ThucMHS
A relevance-based topic model for news event tracking (VHT, YM, CGH, PS), pp. 764–765.
SIGIRSIGIR-2009-He #information retrieval
Topic structure for information retrieval (JH), p. 850.
SIGIRSIGIR-2009-LiLLL #framework #information retrieval #probability #ranking
A probabilistic topic-based ranking framework for location-sensitive domain information retrieval (HL, ZL, WCL, DLL), pp. 331–338.
SIGIRSIGIR-2009-Liu09a #information retrieval #personalisation #using
Personalizing information retrieval using task features, topic knowledge, and task product (JL), p. 855.
SIGIRSIGIR-2009-PunithaJG #automation #feature model #multi #query #retrieval #using #video
Topic prerogative feature selection using multiple query examples for automatic video retrieval (PP, JMJ, AG), pp. 804–805.
SIGIRSIGIR-2009-TrotmanCL #problem #visualisation
Visualizing the problems with the INEX topics (AT, MdRGC, ML), p. 826.
SIGIRSIGIR-2009-Voorhees #set
Topic set size redux (EMV), pp. 806–807.
SIGIRSIGIR-2009-ZhuWVC #evaluation #information retrieval #query
Topic (query) selection for IR evaluation (JZ, JW, VV, IJC), pp. 802–803.
SACSAC-2009-PlattMG #classification #detection
Improving classification based off-topic search detection via category relationships (AP, SSRM, NG), pp. 869–874.
DATEDATE-2009-Anghel #concurrent #development
HOT TOPIC — Concurrent SoC development and end-to-end planning (LA), p. 430.
WICSAWICSA-2008-EmeryH #architecture #framework
Updating IEEE 1471: Architecture Frameworks and Other Topics (DEE, RH), pp. 303–306.
DocEngDocEng-2008-Shilman #documentation
Aggregate documents: making sense of a patchwork of topical documents (MS), pp. 3–7.
TPDLECDL-2008-CasarosaCTI #library #web
The Web Versus Digital Libraries: Time to Revisit This Once Hot Topic (VC, JC, AMT, YEI), pp. 383–384.
TPDLECDL-2008-YangPJLH #ambiguity #correlation #using #web
Author Name Disambiguation for Citations Using Topic and Web Correlation (KHY, HTP, JYJ, HML, JMH), pp. 185–196.
SIGMODSIGMOD-2008-BoimM
Enriching topic-based publish-subscribe systems with related content (RB, TM), pp. 1327–1330.
SIGMODSIGMOD-2008-WuRSM #database
Discovering topical structures of databases (WW, BR, YS, RM), pp. 1019–1030.
CHICHI-2008-DugganP #using #web
Knowledge in the head and on the web: using topic expertise to aid search (GBD, SJP), pp. 39–48.
CIKMCIKM-2008-CaiMHZ #documentation #modelling
Modeling hidden topics on document manifold (DC, QM, JH, CZ), pp. 911–920.
CIKMCIKM-2008-ChemuduguntaSS #concept #modelling #statistics
Combining concept hierarchies and statistical topic models (CC, PS, MS), pp. 1469–1470.
CIKMCIKM-2008-JonesK #automation #query #segmentation
Beyond the session timeout: automatic hierarchical segmentation of search topics in query logs (RJ, KLK), pp. 699–708.
CIKMCIKM-2008-Lee #categorisation #documentation #set
Incorporating topical support documents into a small training set in text categorization (KSL), pp. 1511–1512.
CIKMCIKM-2008-WangZRM #automation #online #ranking #using
Automatic online news topic ranking using media focus and user attention based on aging theory (CW, MZ, LR, SM), pp. 1033–1042.
CIKMCIKM-2008-YiA #information retrieval #modelling
Evaluating topic models for information retrieval (XY, JA), pp. 1431–1432.
ECIRECIR-2008-FrankeA #collaboration #enterprise
Collaborative Topic Tracking in an Enterprise Environment (CF, OA), pp. 632–636.
ECIRECIR-2008-JonesL #feedback #hypermedia
Focused Browsing: Providing Topical Feedback for Link Selection in Hypertext Browsing (GJFJ, QL), pp. 700–704.
ECIRECIR-2008-NaKL #documentation #modelling #multi #normalisation
Improving Term Frequency Normalization for Multi-topical Documents and Application to Language Modeling Approaches (SHN, ISK, JHL), pp. 382–393.
ICMLICML-2008-GomesWP #bound #memory management #modelling
Memory bounded inference in topic models (RG, MW, PP), pp. 344–351.
ICPRICPR-2008-YamaguchiM #categorisation #classification #image #probability
Image categorization by a classifier based on probabilistic topic model (TY, MM), pp. 1–4.
KDDKDD-2008-BonchiCDG #composition #query
Topical query decomposition (FB, CC, DD, AG), pp. 52–60.
KDDKDD-2008-IwataYU #documentation #probability #semantics #visualisation
Probabilistic latent semantic visualization: topic model for visualizing documents (TI, TY, NU), pp. 363–371.
KDDKDD-2008-LingMZS #mining #multi
Mining multi-faceted overviews of arbitrary topics in a text collection (XL, QM, CZ, BRS), pp. 497–505.
KDDKDD-2008-NallapatiAXC #modelling
Joint latent topic models for text and citations (RN, AA, EPX, WWC), pp. 542–550.
KDDKDD-2008-ZhangSPN #documentation #learning #multi #web
Learning from multi-topic web documents for contextual advertisement (YZ, ACS, JCP, MN), pp. 1051–1059.
RecSysRecSys-2008-GeyerDMMF #online #recommendation #self
Recommending topics for self-descriptions in online user profiles (WG, CD, DRM, MJM, JF), pp. 59–66.
SIGIRSIGIR-2008-Banerjee #classification #corpus #modelling #using
Improving text classification accuracy using topic modeling over an additional corpus (SB), pp. 867–868.
SIGIRSIGIR-2008-BerlocherLK #named
TopicRank: bringing insight to users (IB, KIL, KK), pp. 703–704.
SIGIRSIGIR-2008-ChenC #named #novel #summary
TSCAN: a novel method for topic summarization and content anatomy (CCC, MCC), pp. 579–586.
SIGIRSIGIR-2008-GuanWCBW #crawling #effectiveness #estimation #online #using
Guide focused crawler efficiently and effectively using on-line topical importance estimation (ZG, CW, CC, JB, JW), pp. 757–758.
SIGIRSIGIR-2008-NieD
Separate and inequal: preserving heterogeneity in topical authority flows (LN, BDD), pp. 443–450.
SIGIRSIGIR-2008-PengL #analysis #evolution #using
Author-topic evolution analysis using three-way non-negative Paratucker (WP, TL), pp. 819–820.
SIGIRSIGIR-2008-WuO #classification
Bilingual topic aspect classification with a few training examples (YW, DWO), pp. 203–210.
SIGIRSIGIR-2008-XueDYY #classification
Topic-bridged PLSA for cross-domain text classification (GRX, WD, QY, YY), pp. 627–634.
SIGIRSIGIR-2008-ZhangY #generative #retrieval #sentiment
A generation model to unify topic relevance and lexicon-based sentiment for opinion retrieval (MZ, XY), pp. 411–418.
SIGIRSIGIR-2008-ZhangZL #algorithm #rank #recommendation
A topical PageRank based algorithm for recommender systems (LZ, KZ, CL), pp. 713–714.
OOPSLAOOPSLA-2008-BaldiLLB #aspect-oriented #formal method
A theory of aspects as latent topics (PB, CVL, EL, SKB), pp. 543–562.
DATEDATE-2008-BougardMBKC #3d #how #integration
HOT TOPIC — 3D Integration or How to Scale in the 21st Century (BB, PM, LB, DKS, NC), p. 1516.
STOCSTOC-2008-ODonnell #analysis
Some topics in analysis of boolean functions (RO), pp. 569–578.
HTHT-2007-KehoeP #speech #synthesis
Transforming DITA topics for speech synthesis output (AK, IJP), pp. 147–148.
ICDARICDAR-2007-WickRL #fault #modelling #using
Context-Sensitive Error Correction: Using Topic Models to Improve OCR (MLW, MGR, EGLM), pp. 1168–1172.
JCDLJCDL-2007-NewmanHCS #metadata #modelling #statistics #using
Subject metadata enrichment using statistical topic models (DN, KH, CC, PS), pp. 366–375.
JCDLJCDL-2007-SongHCLG #ambiguity #performance
Efficient topic-based unsupervised name disambiguation (YS, JH, IGC, JL, CLG), pp. 342–351.
SIGMODSIGMOD-2007-MiloZV #clustering
Boosting topic-based publish-subscribe systems with dynamic clustering (TM, TZ, EV), pp. 749–760.
WCREWCRE-J-2005-KuhnDG07 #clustering #identification #semantics #source code
Semantic clustering: Identifying topics in source code (AK, SD, TG), pp. 230–243.
MSRMSR-2007-LinsteadRBLB #developer #eclipse #mining #modelling
Mining Eclipse Developer Contributions via Author-Topic Models (EL, PR, SKB, CVL, PB), p. 30.
ICEISICEIS-AIDSS-2007-YasuiLGWT #collaboration #online
Delineating Topic and Discussant Transitions in Online Collaborative Environments (NIY, XL, DEG, YW, HT), pp. 14–21.
CIKMCIKM-2007-OuyangLL #learning #summary
Developing learning strategies for topic-based summarization (OY, SL, WL), pp. 79–86.
CIKMCIKM-2007-WangG #image #word
Translating topics to words for image annotation (YW, SG), pp. 995–998.
ECIRECIR-2007-AshooriL #repository #using #xml
Using Topic Shifts for Focussed Access to XML Repositories (EA, ML), pp. 444–455.
ECIRECIR-2007-ShahE #detection #documentation #metric #representation #using
Use of Topicality and Information Measures to Improve Document Representation for Story Link Detection (CS, KE), pp. 393–404.
ECIRECIR-2007-SkomorowskiV #ad hoc #documentation #retrieval
Ad Hoc Retrieval of Documents with Topical Opinion (JS, OV), pp. 405–417.
ICMLICML-2007-MimnoLM
Mixtures of hierarchical topics with Pachinko allocation (DMM, WL, AM), pp. 633–640.
KDDKDD-2007-JoLG #correlation #detection #graph #research
Detecting research topics via the correlation between graphs and texts (YJ, CL, CLG), pp. 370–379.
KDDKDD-2007-MeiSZ #automation #modelling #multi
Automatic labeling of multinomial topic models (QM, XS, CZ), pp. 490–499.
KDDKDD-2007-NallapatiDLU #multi
Multiscale topic tomography (RN, SD, JDL, KU), pp. 520–529.
KDDKDD-2007-PonCBC #multi
Tracking multiple topics for finding interesting articles (RKP, AFC, DB, TC), pp. 560–569.
KDDKDD-2007-SatoN #documentation #information management #multi #parametricity #using
Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior (IS, HN), pp. 590–598.
KDDKDD-2007-WangZHS #coordination #correlation #mining
Mining correlated bursty topic patterns from coordinated text streams (XW, CZ, XH, RS), pp. 784–793.
SIGIRSIGIR-2007-AzzopardiRB #analysis #query #using
Building simulated queries for known-item topics: an analysis using six european languages (LA, MdR, KB), pp. 455–462.
SIGIRSIGIR-2007-BeitzelJCF #classification #query #web
Varying approaches to topical web query classification (SMB, ECJ, AC, OF), pp. 783–784.
SIGIRSIGIR-2007-ChibaneD #algorithm #layout #segmentation #visual notation #web
A web page topic segmentation algorithm based on visual criteria and content layout (IC, BLD), pp. 817–818.
SIGIRSIGIR-2007-FuKS #collaboration #query #retrieval #using
Using collaborative queries to improve retrieval for difficult topics (XF, DK, CS), pp. 879–880.
SIGIRSIGIR-2007-SitbonB #segmentation #using
Topic segmentation using weighted lexical links (WLL) (LS, PB), pp. 737–738.
SIGIRSIGIR-2007-SunMGYZ #detection #documentation #multi #segmentation
Topic segmentation with shared topic detection and alignment of multiple documents (BS, PM, CLG, JY, HZ), pp. 199–206.
ASEASE-2007-LinsteadRBLB #concept #mining #modelling #probability
Mining concepts from code with probabilistic topic models (EL, PR, SKB, CVL, PB), pp. 461–464.
SACSAC-2007-PlattGM #detection #on the #query #sequence #using
On using user query sequence to detect off-topic search (AP, NG, SSRM), pp. 882–883.
SACSAC-2007-Savoy #why
Why do successful search systems fail for some topics (JS), pp. 872–877.
JCDLJCDL-2006-MannMM #analysis #metric
Bibliometric impact measures leveraging topic analysis (GSM, DMM, AM), pp. 65–74.
ICEISICEIS-HCI-2006-EspirituST #automation #named #semantics #visualisation #wiki
ENWIC: Visualizing Wiki Semantics as Topic Maps — An Automated Topic Discovery and Visualization Tool (CE, ES, TT), pp. 35–42.
ICEISICEIS-J-2006-EspirituST06a #tool support
The ViskiMap Toolkit: Extending Mediawiki with Topic Maps (CE, ES, TT), pp. 420–438.
CIKMCIKM-2006-GollapudiP #symmetry
Exploiting asymmetry in hierarchical topic extraction (SG, RP), pp. 475–482.
CIKMCIKM-2006-LiC #detection #using
Improving novelty detection for general topics using sentence level information patterns (XL, WBC), pp. 238–247.
CIKMCIKM-2006-ZhouJZG #evolution #how #interactive #research #social
Topic evolution and social interactions: how authors effect research (DZ, XJ, HZ, CLG), pp. 248–257.
ECIRECIR-2006-ParaparB #identification #retrieval
Sentence Retrieval with LSI and Topic Identification (DP, AB), pp. 119–130.
ECIRECIR-2006-WenRB #behaviour #online #using
The Effects on Topic Familiarity on Online Search Behaviour and Use of Relevance Criteria (LW, IR, PB), pp. 456–459.
ICMLICML-2006-BleiL #modelling
Dynamic topic models (DMB, JDL), pp. 113–120.
ICMLICML-2006-KrauseLG
Data association for topic intensity tracking (AK, JL, CG), pp. 497–504.
ICMLICML-2006-LiM #correlation #modelling
Pachinko allocation: DAG-structured mixture models of topic correlations (WL, AM), pp. 577–584.
ICMLICML-2006-Wallach #modelling
Topic modeling: beyond bag-of-words (HMW), pp. 977–984.
KDDKDD-2006-KumarPT #segmentation
Hierarchical topic segmentation of websites (RK, KP, AT), pp. 257–266.
KDDKDD-2006-NewmanCS #modelling #statistics
Statistical entity-topic models (DN, CC, PS), pp. 680–686.
KDDKDD-2006-WangM #roadmap
Topics over time: a non-Markov continuous-time model of topical trends (XW, AM), pp. 424–433.
SIGIRSIGIR-2006-LiLL
Enhancing topic tracking with temporal information (BL, WL, QL), pp. 667–668.
SIGIRSIGIR-2006-NieDQ #analysis #web
Topical link analysis for web search (LN, BDD, XQ), pp. 91–98.
ITiCSEITiCSE-2005-Olsevicova
Application of topic maps in e-learning environment (KO), p. 363.
ICEISICEIS-v1-2005-OuziriVF #approach #integration #logic #modelling
Data Integration and User Modelling: An Approach Based on Topic Maps and Description Logics (MO, CV, AF), pp. 171–175.
CIKMCIKM-2005-Das-NevesFY #documentation
Connecting topics in document collections with stepping stones and pathways (FADN, EAF, XY), pp. 91–98.
CIKMCIKM-2005-GoharianM #detection #information management #on the
On off-topic access detection in information systems (NG, LM), pp. 353–354.
CIKMCIKM-2005-KumaranJM #web
Biasing web search results for topic familiarity (GK, RJ, OM), pp. 271–272.
CIKMCIKM-2005-TangHCG #crawling #quality
Focused crawling for both topical relevance and quality of medical information (TTT, DH, NC, KG), pp. 147–154.
SIGIRSIGIR-2005-ElsayedO #adaptation #evaluation #on the
On evaluation of adaptive topic tracking systems (TE, DWO), pp. 597–598.
SIGIRSIGIR-2005-HarabagiuL #multi #summary
Topic themes for multi-document summarization (SMH, VFL), pp. 202–209.
SIGIRSIGIR-2005-KuLWC #detection #summary
Major topic detection and its application to opinion summarization (LWK, LYL, THW, HHC), pp. 627–628.
SIGIRSIGIR-2005-LinH #fault #retrieval #set
Revisiting the effect of topic set size on retrieval error (WHL, AGH), pp. 637–638.
SIGIRSIGIR-2005-TrieschniggK #approach #detection #scalability
Scalable hierarchical topic detection: exploring a sample based approach (DT, WK), pp. 655–656.
SACSAC-2005-CuiK #analysis #documentation
Topic activation analysis for document streams based on document arrival rate and relevance (CC, HK), pp. 1089–1095.
DocEngDocEng-2004-YehC #identification
Creation of topic map by identifying topic chain in chinese (CLY, YCC), pp. 112–114.
DRRDRR-2004-HurstN #documentation #online #sentiment
Retrieving topical sentiments from online document collections (MFH, KN), pp. 27–34.
TPDLECDL-2004-CaraccioloHR #documentation #towards
Towards Topic Driven Access to Full Text Documents (CC, WRvH, MdR), pp. 495–500.
JCDLJCDL-2004-PantTJG #crawling #library #named
Panorama: extending digital libraries with topical crawlers (GP, KT, JJ, CLG), pp. 142–150.
ICEISICEIS-v1-2004-LaiCC #feedback #incremental
Applying Cross-Topic Relationships to Incremental Relevance Feedback (TCHL, SCfC, KFLC), pp. 356–363.
ICEISICEIS-v2-2004-FotzoG #documentation #information management
Information Access via Topic Hierarchies and Thematic Annotations from Document Collections (HNF, PG), pp. 69–76.
ICEISICEIS-v5-2004-MarzalBMC #analysis #documentation #perspective
Verbs & Topic Maps: A Proposal for Legal Documentation from the Document Content Analysis Perspective (MÁM, CB, JM, FC), pp. 63–68.
CIKMCIKM-2004-ChuangC #approach #generative
A practical web-based approach to generating topic hierarchy for text segments (SLC, LFC), pp. 127–136.
CIKMCIKM-2004-MaguitmanLRM #automation #towards
Dynamic extraction topic descriptors and discriminators: towards automatic context-based topic search (AGM, DBL, TR, FM), pp. 463–472.
CIKMCIKM-2004-NallapatiFPA #thread
Event threading within news topics (RN, AF, FP, JA), pp. 446–453.
CIKMCIKM-2004-TakakiFI #analysis #documentation #query #retrieval
Associative document retrieval by query subtopic analysis and its application to invalidity patent search (TT, AF, TI), pp. 399–405.
ECIRECIR-2004-KellyDBA #approach #modelling
A User-Centered Approach to Evaluating Topic Models (DK, FD, NJB, JA), pp. 27–41.
KDDKDD-2004-MorinagaY #finite #roadmap #using
Tracking dynamics of topic trends using a finite mixture model (SM, KY), pp. 811–816.
KDDKDD-2004-SteyversSRG #modelling #probability
Probabilistic author-topic models for information discovery (MS, PS, MRZ, TLG), pp. 306–315.
SIGIRSIGIR-2004-BeitzelJCGF #analysis #query #scalability #web
Hourly analysis of a very large topically categorized web query log (SMB, ECJ, AC, DAG, OF), pp. 321–328.
SIGIRSIGIR-2004-Buckley #comparative #predict #ranking #retrieval
Topic prediction based on comparative retrieval rankings (CB), pp. 506–507.
SIGIRSIGIR-2004-LarkeyFCL #modelling #multi
Language-specific models in multilingual topic tracking (LSL, FF, MEC, VL), pp. 402–409.
SIGIRSIGIR-2004-PlachourasO
Usefulness of hyperlink structure for query-biased topic distillation (VP, IO), pp. 448–455.
SIGIRSIGIR-2004-WhiteJ #case study #metric #similarity
A study of topic similarity measures (RWW, JMJ), pp. 520–521.
SIGIRSIGIR-2004-WuMMTWLLB
Human versus machine in the topic distillation task (MW, GM, AM, MC(T, RW, YL, HJL, NJB), pp. 385–392.
STOCSTOC-2004-BoissonnatCV
Isotopic implicit surface meshing (JDB, DCS, GV), pp. 301–309.
TPDLECDL-2003-MakkonenA #detection
Utilizing Temporal Information in Topic Detection and Tracking (JM, HAM), pp. 393–404.
TPDLECDL-2003-PantM #crawling
Topical Crawling for Business Intelligence (GP, FM), pp. 233–244.
JCDLJCDL-2003-KurtzM #detection #online
Topic Detection and Interest Tracking in a Dynamic Online News Source (AJK, JM), pp. 122–124.
ITiCSEITiCSE-2003-Christensen #education #exclamation #testing
Systematic testing should not be a topic in the computer science curriculum! (HBC), pp. 7–10.
CIKMCIKM-2003-ChengC #image #web
Auto-generation of topic hierarchies for web images from users’ perspectives (PJC, LFC), pp. 544–547.
ECIRECIR-2003-MakkonenAS #detection
Topic Detection and Tracking with Spatio-Temporal Evidence (JM, HAM, MS), pp. 251–265.
ECIRECIR-2003-Pons-PorrataLR #library
Building a Hierarchy of Events and Topics for Newspaper Digital Libraries (APP, RBL, JRS), pp. 588–596.
KDDKDD-2003-SarawagiCG #learning #named #probability
Cross-training: learning probabilistic mappings between topics (SS, SC, SG), pp. 177–186.
SIGIRSIGIR-2003-BawaMR #named #segmentation #set
SETS: search enhanced by topic segmentation (MB, GSM, PR), pp. 306–313.
SIGIRSIGIR-2003-ChoiK #concept #using
Topic distillation using hierarchy concept tree (IC, MK), pp. 371–372.
SIGIRSIGIR-2003-HuBZ #analysis #fault
Error analysis of difficult TREC topics (XH, SB, CZ), pp. 407–408.
SIGIRSIGIR-2003-LiZO #generative #linear
Topic hierarchy generation via linear discriminant projection (TL, SZ, MO), pp. 421–422.
SIGIRSIGIR-2003-ZhaiCL #evaluation #independence #metric #retrieval
Beyond independent relevance: methods and evaluation metrics for subtopic retrieval (CZ, WWC, JDL), pp. 10–17.
DATEDATE-2003-WittmannHWTS #communication #design
Hot Topic Session: RF Design Technology for Highly Integrated Communication Systems (RW, JH, HJW, GT, MS), pp. 10842–10849.
JCDLJCDL-2002-KellyC #behaviour #information management
The effects of topic familiarity on information search behavior (DK, CC), pp. 74–75.
CIKMCIKM-2002-BrantsCT #analysis #documentation #probability #segmentation #semantics
Topic-based document segmentation with probabilistic latent semantic analysis (TB, FC, IT), pp. 211–218.
CIKMCIKM-2002-ChungC #collaboration #crawling
Topic-oriented collaborative crawling (CC, CLAC), pp. 34–42.
ICPRICPR-v4-2002-IbrahimovSD #analysis #clustering #performance #similarity
The Performance Analysis of a Chi-square Similarity Measure for Topic Related Clustering of Noisy Transcripts (OI, IKS, ND), pp. 285–288.
KDDKDD-2002-Aggarwal02a #case study #collaboration #crawling #experience #mining #resource management #user interface
Collaborative crawling: mining user experiences for topical resource discovery (CCA), pp. 423–428.
KDDKDD-2002-BinghamMS
Topics in 0--1 data (EB, HM, JKS), pp. 450–455.
KDDKDD-2002-YangZCJ #detection
Topic-conditioned novelty detection (YY, JZ, JGC, CJ), pp. 688–693.
SIGIRSIGIR-2002-EvansSS #modelling
Topic structure modeling (DAE, JGS, VS), pp. 417–418.
SIGIRSIGIR-2002-JonesG #analysis #development #visualisation
A visualisation tool for topic tracking analysis and development (GJFJ, SMG), pp. 389–390.
SIGIRSIGIR-2002-Kawatani #categorisation #difference #documentation #set
Topic difference factor extraction between two document sets and its application to text categorization (TK), pp. 137–144.
SIGIRSIGIR-2002-LeuskiA #evaluation
Improving realism of topic tracking evaluation (AL, JA), pp. 89–96.
SIGIRSIGIR-2002-VoorheesB #empirical #fault #retrieval #set
The effect of topic set size on retrieval experiment error (EMV, CB), pp. 316–323.
TPDLECDL-2001-RadevBZR #identification #independence #interactive #summary
Interactive, Domain-Independent Identification and Summarization of Topically Related News Articles (DRR, SBG, ZZ, RSR), pp. 225–238.
ITiCSEITiCSE-2001-Huizinga #identification #online #programming
Identifying topics for instructional improvement through on-line tracking of programming assignments (DMH), pp. 129–132.
SIGIRSIGIR-2001-AllanGK #summary
Temporal Summaries of News Topics (JA, RG, VK), pp. 10–18.
SIGIRSIGIR-2001-BleiM #markov #segmentation
Topic Segmentation with an Aspect Hidden Markov Model (DMB, PJM), pp. 343–348.
SIGIRSIGIR-2001-ChakrabartiJT #using
Enhanced Topic Distillation Using Text, Markup Tags, and Hyperlinks (SC, MJ, VT), pp. 208–216.
SIGIRSIGIR-2001-FranzMWZ #clustering
Unsupervised and Supervised Clustering for Topic Tracking (MF, JSM, TW, WJZ), pp. 310–317.
SIGIRSIGIR-2001-LawrieCR #summary #word
Finding Topic Words for Hierarchical Summarization (DL, WBC, ALR), pp. 349–357.
SIGIRSIGIR-2001-MenczerPSR #crawling #web
Evaluating Topic-Driven Web Crawlers (FM, GP, PS, MER), pp. 241–249.
SIGIRSIGIR-2001-MoensB #documentation #segmentation
Generic Topic Segmentation of Document Texts (MFM, RDB), pp. 418–419.
TPDLECDL-2000-AmaralT #detection #documentation
Topic Detection in Read Documents (RA, IT), pp. 315–318.
TPDLECDL-2000-Pasquier #automation #classification #database #functional #library #order
Functional and Intentional Limitations of Interactivity on Content Indexing Topics: Possible Uses of Automatic Classification and Contents Extraction Systems, in Order to Create Digital Libraries Databases (FP), pp. 219–228.
TPDLECDL-2000-RauberDM #approach #automation #detection #documentation #network
Automatically Detecting and Organizing Documents into Topic Hierarchies: A Neural Network Based Approach to Bookshelf Creation and Arrangement (AR, MD, DM), pp. 348–351.
HTHT-2000-Mukherjea #web
Organizing topic-specific web information (SM), pp. 133–141.
CIKMCIKM-2000-LarkeyCC
Collection Selection and Results Merging with Topically Organized U.S. Patents and TREC Data (LSL, MEC, JPC), pp. 282–289.
ICMLICML-2000-MyersKSW #approach
A Boosting Approach to Topic Spotting on Subdialogues (KM, MJK, SPS, MAW), pp. 655–662.
SIGIRSIGIR-2000-Davison #locality #web
Topical locality in the Web (BDD0), pp. 272–279.
SIGIRSIGIR-2000-HatzivassiloglouGM #algorithm #clustering #documentation
An investigation of linguistic features and clustering algorithms for topical document clustering (VH, LG, AM), pp. 224–231.
SIGIRSIGIR-2000-McCarleyF #detection #fault #recognition #speech
Influence of speech recognition errors on topic detection (JSM, MF), pp. 342–344.
SACSAC-2000-OzakuUMI #network
Topic Search for Intelligent Network News Reader HISHO (HO, KU, MM, HI), pp. 28–33.
DL-1999-JonesP #library #using
Topic-Based Browsing Within a Digital Library Using Keyphrases (SJ, GWP), pp. 114–121.
ITiCSEITiCSE-1999-Trichina
Didactic instructional tool for topics in computer science (ET), pp. 95–98.
CHICHI-1999-AmentoHTHJ #empirical #evaluation #user interface #web
An Empirical Evaluation of User Interfaces for Topic Management of Web Sites (BA, WCH, LGT, DH, PJ), pp. 552–559.
KDDKDD-1999-ShewhartW #monitoring
Monitoring a Newsfeed for Hot Topics (MS, MW), pp. 402–404.
DL-1998-HauptmannL #library #video
Topic Labeling of Broadcast News Stories in the Informedia Digital Video Library (AGH, DL), pp. 287–288.
FMFM-1998-KoobUW #formal method #modelling #policy #process #security #using
The New Topicality of Using Formal Models of Security Policy within the Security Engineering Process (FK, MU, SW), pp. 302–310.
SIGIRSIGIR-1998-BharatH #algorithm
Improved Algorithms for Topic Distillation in a Hyperlinked Environment (KB, MRH), pp. 104–111.
TPDLECDL-1997-PonteC #segmentation
Text Segmentation by Topic (JMP, WBC), pp. 113–125.
CIKMCIKM-1997-Light #distributed #documentation #visual notation
A Distributed, Graphical, Topic-Oriented Document Search System (JL), pp. 285–292.
CHICHI-1996-PirolliSHD #scalability
Scatter/Gather Browsing Communicates the Topic Structure of a Very Large Text Collection (PP, PKS, MAH, CD), pp. 213–220.
CIKMCIKM-1995-Paradis #using
Using Linguistic and Discourse Structures to Derive Topics (FP), pp. 44–49.
RTARTA-1993-DershowitzH #termination
Topics in Termination (ND, CH), pp. 198–212.
SIGIRSIGIR-1993-HearstP #documentation
Subtopic Structuring for Full-Length Document Access (MAH, CP), pp. 59–68.
TOOLSTOOLS-USA-1991-Wirfs-Brock #design #object-oriented
Advanced Topics in Object-Oriented Design (RWB), pp. 429–430.
SIGIRSIGIR-1986-TruckenmullerR #analysis #design #perspective
Methodological Issues for the Design of an Office Information Server — Focal Topics for the Analysis from an Office System Perspective (TWT, MR), pp. 39–48.
DACDAC-1978-Nash #automation #database #design
Topics in design automation data bases (DCN), pp. 463–474.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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