BibSLEIGH
BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
CC-BY
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Used together with:
model (197)
use (80)
base (65)
document (50)
analysi (43)

Stem topic$ (all stems)

562 papers:

CASECASE-2015-SundarkumarRNG #api #detection #machine learning #modelling #topic
Malware detection via API calls, topic models and machine learning (GGS, VR, IN, VG), pp. 1212–1217.
HTHT-2015-MorstatterPML #statistics #topic
Text, Topics, and Turkers: A Consensus Measure for Statistical Topics (FM, JP, KM, HL), pp. 123–131.
VLDBVLDB-2015-ChenFLFTT #online #topic
Online Topic-Aware Influence Maximization (SC, JF, GL, JF, KLT, JT), pp. 666–677.
VLDBVLDB-2015-GalhotraBBRJ #evolution #topic
Tracking the Conductance of Rapidly Evolving Topic-Subgraphs (SG, AB, SB, MR, VJ), pp. 2170–2181.
VLDBVLDB-2015-KouUMLLG #topic
A Topic-based Reviewer Assignment System (NMK, LHU, NM, YL, YL, ZG), pp. 1852–1863.
ITiCSEITiCSE-2015-Aycock #education #experience #topic
Applied Computer History: Experience Teaching Systems Topics through Retrogames (JA), pp. 105–110.
ICPCICPC-2015-SaeidiHKJ #analysis #interactive #modelling #named #source code #topic
ITMViz: interactive topic modeling for source code analysis (AS, JH, RK, SJ), pp. 295–298.
ICSMEICSME-2015-CorleyKK #feature model #modelling #topic
Modeling changeset topics for feature location (CSC, KLK, NAK), pp. 71–80.
MSRMSR-2015-ChowdhuryH #mining #stack overflow #topic
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 #topic #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 #topic
Explore the evolution of development topics via on-line LDA (JH, XS, BL), pp. 555–559.
SANERSANER-2015-HuSLL #development #evolution #modelling #topic #using
Modeling the evolution of development topics using Dynamic Topic Models (JH, XS, DL, BL), pp. 3–12.
CHICHI-2015-BrzozowskiAC #community #topic
Google+ Communities as Plazas and Topic Boards (MJB, PA, EHC), pp. 3779–3788.
CHICHI-2015-NguyenNIO #personalisation #topic
The Known Stranger: Supporting Conversations between Strangers with Personalized Topic Suggestions (TTN, DTN, STI, EO), pp. 555–564.
HCIHIMI-IKC-2015-IshiiMKS #clustering #education #topic
A Topic Model for Clustering Learners Based on Contents in Educational Counseling (TI, SM, KK, YS), pp. 323–331.
HCIHIMI-IKD-2015-UlbrichVSS #interactive #topic
Reading Through Graphics: Interactive Landscapes to Explore Dynamic Topic Spaces (EU, EEV, SS, VS), pp. 127–137.
ECIRECIR-2015-CanneytCD #classification #sentiment #topic #twitter
Topic-Dependent Sentiment Classification on Twitter (SVC, NC, BD), pp. 441–446.
ECIRECIR-2015-ChongDL #modelling #predict #topic #using
Prediction of Venues in Foursquare Using Flipped Topic Models (WHC, BTD, EPL), pp. 623–634.
ECIRECIR-2015-FeiHY #microblog #topic
Handling Topic Drift for Topic Tracking in Microblogs (YF, YH, JY), pp. 477–488.
ECIRECIR-2015-HagenWS #corpus #topic #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 #topic #using
Nonparametric Topic Modeling Using Chinese Restaurant Franchise with Buddy Customers (SJ, WL, LB), pp. 648–659.
ECIRECIR-2015-SchulteTW #topic
On-topic Cover Stories from News Archives (CS, BT, GW), pp. 37–42.
ECIRECIR-2015-Tutubalina #problem #topic
Target-Based Topic Model for Problem Phrase Extraction (ET), pp. 271–277.
ECIRECIR-2015-VuWTS #personalisation #topic
Temporal Latent Topic User Profiles for Search Personalisation (TTV, AW, SNT, DS), pp. 605–616.
ICMLICML-2015-FouldsKG #framework #modelling #network #probability #programming #topic
Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models (JRF, SHK, LG), pp. 777–786.
ICMLICML-2015-GanCHCC #analysis #modelling #scalability #topic
Scalable Deep Poisson Factor Analysis for Topic Modeling (ZG, CC, RH, DEC, LC), pp. 1823–1832.
ICMLICML-2015-HeRFGL #modelling #named #network #topic
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 #topic
Online Topic-based Social Influence Analysis for the Wimbledon Championships (VRE, IB, VP, RV), pp. 1759–1768.
KDDKDD-2015-HayashiMTK #detection #realtime #topic #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 #topic
Leveraging Social Context for Modeling Topic Evolution (JK, AM, DST, HV, GRGL), pp. 517–526.
KDDKDD-2015-KimCKRP #matrix #topic
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 #topic
TOPTRAC: Topical Trajectory Pattern Mining (YK, JH, CY), pp. 587–596.
KDDKDD-2015-WangLSH #approach #composition #interactive #recursion #topic #towards
Towards Interactive Construction of Topical Hierarchy: A Recursive Tensor Decomposition Approach (CW, XL, YS, JH), pp. 1225–1234.
KDDKDD-2015-WangZHSY #topic
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 #topic
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 #topic #using
Linear Time Samplers for Supervised Topic Models using Compositional Proposals (XZ, YY, EPX), pp. 1523–1532.
SEKESEKE-2015-TakahashiNT #automation #elicitation #feedback #requirements #topic #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 #topic #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 #topic #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 #topic
Early Detection of Topical Expertise in Community Question Answering (DvD, MT, MdR), pp. 995–998.
SIGIRSIGIR-2015-EswaranBP #classification #modelling #scalability #topic
Modeling Website Topic Cohesion at Scale to Improve Webpage Classification (DE, PNB, JJPI), pp. 787–790.
SIGIRSIGIR-2015-FangOHML #classification #topic #twitter
Topic-centric Classification of Twitter User’s Political Orientation (AF, IO, PH, CM, NL), pp. 791–794.
SIGIRSIGIR-2015-TanWX #matrix #multi #summary #topic
Joint Matrix Factorization and Manifold-Ranking for Topic-Focused Multi-Document Summarization (JT, XW, JX), pp. 987–990.
SIGIRSIGIR-2015-YangKML #modelling #parametricity #sentiment #topic
Parametric and Non-parametric User-aware Sentiment Topic Models (ZY, AK, AM, SL), pp. 413–422.
SACSAC-2015-ChaCBCYBC #framework #online #topic
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 #topic
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 #topic
A joint model for topic-sentiment modeling from text (MD, LK, JV, SL), pp. 819–824.
HTHT-2014-FerraraIT #lens #online #topic
Online popularity and topical interests through the lens of instagram (EF, RI, AT), pp. 24–34.
HTHT-2014-HerzigMR #detection #social #social media #topic
An author-reader influence model for detecting topic-based influencers in social media (JH, YM, HR), pp. 46–55.
VLDBVLDB-2015-El-KishkySWVH14 #corpus #mining #scalability #topic
Scalable Topical Phrase Mining from Text Corpora (AEK, YS, CW, CRV, JH), pp. 305–316.
ITiCSEITiCSE-2014-SirajGTH #security #topic
Empowering faculty to embed security topics into computer science courses (AS, SG, JT, AH), pp. 99–104.
SANERCSMR-WCRE-2014-GrantC #maintenance #similarity #topic
Examining the relationship between topic model similarity and software maintenance (SG, JRC), pp. 303–307.
ICPCICPC-2014-McBurneyLMW #source code #summary #topic
Improving topic model source code summarization (PWM, CL, CM, TW), pp. 291–294.
ICSMEICSME-2014-YeasminRS #debugging #evolution #interactive #summary #topic #using #visualisation
Interactive Visualization of Bug Reports Using Topic Evolution and Extractive Summaries (SY, CKR, KAS), pp. 421–425.
ICSMEICSME-2014-ZouH #modelling #topic
LDA Analyzer: A Tool for Exploring Topic Models (CZ, DH), pp. 593–596.
CSCWCSCW-2014-BhattacharyaGKMZGG #microblog #scalability #topic #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 #topic
Finding Division Points for Time-Series Corpus Based on Topic Changes (HK, RS), pp. 364–372.
CAiSECAiSE-2014-BurnayJF #case study #elicitation #requirements #topic
An Exploratory Study of Topic Importance in Requirements Elicitation Interviews (CB, IJ, SF), pp. 180–195.
ICEISICEIS-v1-2014-ShakirIB #machine learning #topic
Machine Learning Techniques for Topic Spotting (NS, EI, ISB), pp. 450–455.
CIKMCIKM-2014-ChuWCC #metric #microblog #monitoring #topic
Microblog Topic Contagiousness Measurement and Emerging Outbreak Monitoring (VWC, RKW, FC, CHC), pp. 1099–1108.
CIKMCIKM-2014-DerntlGTKJ #modelling #topic #web
Building and Exploring Dynamic Topic Models on the Web (MD, NG, AT, RK, MJ), pp. 2012–2014.
CIKMCIKM-2014-GuiSHB #modelling #multi #network #topic
Modeling Topic Diffusion in Multi-Relational Bibliographic Information Networks (HG, YS, JH, GB), pp. 649–658.
CIKMCIKM-2014-HinneburgRPO #documentation #topic
Exploring Document Collections with Topic Frames (AH, FR, SP, CO), pp. 2084–2086.
CIKMCIKM-2014-LimB #sentiment #topic #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 #topic
A Dynamic Reconstruction Approach to Topic Summarization of User-Generated-Content (ZM, JY, TSC), pp. 311–320.
CIKMCIKM-2014-ZhuMHZC #social #social media #topic #using
Customized Organization of Social Media Contents using Focused Topic Hierarchy (XZ, ZM, YH, XZ, TSC), pp. 1509–1518.
ECIRECIR-2014-PanemBGV #detection #realtime #topic #twitter #using
Entity Tracking in Real-Time Using Sub-topic Detection on Twitter (SP, RB, MG, VV), pp. 528–533.
ECIRECIR-2014-Qian #topic #web
Text-Image Topic Discovery for Web News Data (MQ), pp. 675–680.
ECIRECIR-2014-SterckxDDMD #quality #topic
Assessing Quality of Unsupervised Topics in Song Lyrics (LS, TD, JD, LM, CD), pp. 547–552.
ICMLICML-c1-2014-InouyeRD #dependence #topic #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 #topic
On Modelling Non-linear Topical Dependencies (ZL, SW, JL, PZ, JT), pp. 458–466.
ICMLICML-c1-2014-RabinovichB #topic
The Inverse Regression Topic Model (MR, DMB), pp. 199–207.
ICMLICML-c1-2014-TangMNMZ #analysis #comprehension #modelling #topic
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 #topic #using
Topic Modeling using Topics from Many Domains, Lifelong Learning and Big Data (ZC, BL), pp. 703–711.
ICPRICPR-2014-DominguesMMSR #information management #recommendation #topic #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 #topic #using
Signature Matching Using Supervised Topic Models (XD, DSD, WAA), pp. 327–332.
ICPRICPR-2014-HaoXPSK #automation #semantics #topic #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 #topic #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 #topic
Improving Personalized Ranking in Recommender Systems with Topic Hierarchies and Implicit Feedback (MGM, MAD, RMM, SOR), pp. 3696–3701.
ICPRICPR-2014-NegiBC #topic
Discovering User-Communities and Associated Topics from YouTube (SN, RB, SC), pp. 1958–1963.
ICPRICPR-2014-ZouYCDJ #clustering #correlation #topic #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 #topic
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 #topic
Experiments with non-parametric topic models (WLB, SM), pp. 881–890.
KDDKDD-2014-Chen0 #big data #documentation #mining #topic
Mining topics in documents: standing on the shoulders of big data (ZC, BL), pp. 1116–1125.
KDDKDD-2014-GuSJWC #estimation #network #topic
Topic-factorized ideal point estimation model for legislative voting network (YG, YS, NJ, BW, TC), pp. 183–192.
KDDKDD-2014-HanWE #mining #topic
Bringing structure to text: mining phrases, entities, topics, and hierarchies (JH, CW, AEK), p. 1968.
KDDKDD-2014-LiARS #complexity #modelling #topic
Reducing the sampling complexity of topic models (AQL, AA, SR, AJS), pp. 891–900.
KDDKDD-2014-SchubertWK #detection #named #scalability #topic
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 #topic
LASTA: large scale topic assignment on multiple social networks (NS, JY, AR, PB), pp. 1809–1818.
KDDKDD-2014-TongCC #named #performance #topic
TCS: efficient topic discovery over crowd-oriented service data (YT, CCC, LC), pp. 861–870.
KDDKDD-2014-WuZTH0 #crowdsourcing #modelling #personalisation #topic #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 #topic #twitter
Large-scale high-precision topic modeling on twitter (SHY, AK, AS, PG), pp. 1907–1916.
KDIRKDIR-2014-DistanteCVL #learning #online #paradigm #plugin #topic
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 #topic #web
Web Content Classification based on Topic and Sentiment Analysis of Text (SL, TF), pp. 300–307.
KMISKMIS-2014-WitschelTL #automation #navigation #topic
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 #topic
LinkedIn skills: large-scale topic extraction and inference (MB, MH, WV, SS, PS, HJK, SU, CL), pp. 1–8.
RecSysRecSys-2014-TavakolB #detection #topic
Factored MDPs for detecting topics of user sessions (MT, UB), pp. 33–40.
SEKESEKE-2014-ZhangGCS0 #topic
Topic Evolutions in Scientific Conferences (LZ, YG, XC, WS, LC), pp. 507–510.
SIGIRSIGIR-2014-ChenGLH #topic #twitter
Inferring topic-dependent influence roles of Twitter users (CC, DG, WL, YH), pp. 1203–1206.
SIGIRSIGIR-2014-CulpepperMSS #named #topic
TREC: topic engineering exercise (JSC, SM, MS, FS), pp. 1147–1150.
SIGIRSIGIR-2014-DamH #scalability #topic #verification
Large-scale author verification: temporal and topical influences (MvD, CH), pp. 1039–1042.
SIGIRSIGIR-2014-HingmireC #approach #classification #topic
Topic labeled text classification: a weakly supervised approach (SH, SC), pp. 385–394.
SIGIRSIGIR-2014-Ifada #modelling #personalisation #recommendation #topic #using
A tag-based personalized item recommendation system using tensor modeling and topic model approaches (NI), p. 1280.
SIGIRSIGIR-2014-LuLMWXW #interactive #microblog #recommendation #topic
Computing and applying topic-level user interactions in microblog recommendation (XL, PL, HM, SW, AX, BW), pp. 843–846.
SIGIRSIGIR-2014-LuMC #topic
A collective topic model for milestone paper discovery (ZL, NM, DWC), pp. 1019–1022.
SIGIRSIGIR-2014-RajaniMB #microblog #topic
Extracting topics based on authors, recipients and content in microblogs (NFNR, KM, JB), pp. 1171–1174.
SIGIRSIGIR-2014-SpinaGA #detection #learning #monitoring #online #similarity #topic
Learning similarity functions for topic detection in online reputation monitoring (DS, JG, EA), pp. 527–536.
SIGIRSIGIR-2014-VoseckyLN #collaboration #modelling #personalisation #topic #twitter
Collaborative personalized Twitter search with topic-language models (JV, KWTL, WN), pp. 53–62.
SIGIRSIGIR-2014-YaoZJBCSY #modelling #probability #topic
Probabilistic text modeling with orthogonalized topics (EY, GZ, OJ, SB, KC, ZS, YY), pp. 907–910.
SACSAC-2014-HuWZ #documentation #internet #topic
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 #topic
A graph-based topic extraction method enabling simple interactive customization (AS, AJS, EEM), pp. 71–80.
DRRDRR-2013-WalkerRS #fault #modelling #topic
Evaluating supervised topic models in the presence of OCR errors (DDW, EKR, KDS).
HTHT-2013-BastosPT #topic #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 #topic
Harnessing linked knowledge sources for topic classification in social media (AEC, AV, MR, FC, YH), pp. 41–50.
HTHT-2013-KrestelS #generative #sentiment #topic
Generating contextualized sentiment lexica based on latent topics and user ratings (RK, SS), pp. 129–138.
VLDBVLDB-2013-LiWC #automation #framework #monitoring #social #topic #towards #twitter
Towards Social Data Platform: Automatic Topic-focused Monitor for Twitter Stream (RL, SW, KCCC), pp. 1966–1977.
MSRMSR-2013-AllamanisS #stack overflow #topic #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 #topic #using
Deficient documentation detection: a methodology to locate deficient project documentation using topic analysis (JCC, CZ, ZX, AH, JM), pp. 57–60.
CHICHI-2013-LiaoF #interactive #topic
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 #topic
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 #topic
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 #topic #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 #topic
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 #topic
Community question topic categorization via hierarchical kernelized classification (WC, WY, JT, JD, XZ, WW), pp. 959–968.
CIKMCIKM-2013-ChenMLHCG #topic #using
Discovering coherent topics using general knowledge (ZC, AM, BL, MH, MC, RG), pp. 209–218.
CIKMCIKM-2013-HashemiNB #approach #learning #network #retrieval #topic
Expertise retrieval in bibliographic network: a topic dominance learning approach (SHH, MN, HB), pp. 1117–1126.
CIKMCIKM-2013-IdaNM #independence #online #topic
Domain-dependent/independent topic switching model for online reviews with numerical ratings (YI, TN, TM), pp. 229–238.
CIKMCIKM-2013-KimCHZRD #feedback #mining #modelling #topic
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 #topic #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 #topic #using
Modeling latent topic interactions using quantum interference for information retrieval (AS, JH, JYN), pp. 1197–1200.
CIKMCIKM-2013-VoseckyJLN #multi #topic #twitter
Dynamic multi-faceted topic discovery in twitter (JV, DJ, KWTL, WN), pp. 879–884.
CIKMCIKM-2013-WangYLZH #network #summary #topic #word
Content coverage maximization on word networks for hierarchical topic summarization (CW, XY, YL, CZ, JH), pp. 249–258.
CIKMCIKM-2013-YangQGZJSC #community #named #topic
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
Topic Models Can Improve Domain Term Extraction (EIB, NVL, MN), pp. 684–687.
ECIRECIR-2013-ChenC #analysis #multi #network #topic #using
A Topic Person Multi-polarization Method Using Friendship Network Analysis (ZYC, CCC), pp. 688–692.
ECIRECIR-2013-JameelL #documentation #n-gram #topic
An N-Gram Topic Model for Time-Stamped Documents (SJ, WL), pp. 292–304.
ECIRECIR-2013-KonishiKM #adaptation #topic
Topic Model for User Reviews with Adaptive Windows (TK, FK, AM), pp. 730–733.
ECIRECIR-2013-MiyanishiSU #microblog #topic
Combining Recency and Topic-Dependent Temporal Variation for Microblog Search (TM, KS, KU), pp. 331–343.
ECIRECIR-2013-MoensV #information retrieval #modelling #probability #topic
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 #topic
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
Topic-Focused Summarization of Chat Conversations (AS, TPM, VV), pp. 800–803.
ECIRECIR-2013-VulicM #framework #modelling #probability #topic
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 #topic
Gibbs Max-Margin Topic Models with Fast Sampling Algorithms (JZ, NC, HP, BZ), pp. 124–132.
ICMLICML-c2-2013-AroraGHMMSWZ #algorithm #modelling #topic
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 #topic
Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically (MKD, SB, CB, KG), pp. 253–261.
ICMLICML-c2-2013-KimVS #approximate #corpus #modelling #topic
A Variational Approximation for Topic Modeling of Hierarchical Corpora (DkK, GMV, LKS), pp. 55–63.
ICMLICML-c2-2013-ShalitWC #modelling #topic
Modeling Musical Influence with Topic Models (US, DW, GC), pp. 244–252.
ICMLICML-c3-2013-ChuangGMH #topic
Topic Model Diagnostics: Assessing Domain Relevance via Topical Alignment (JC, SG, CDM, JH), pp. 612–620.
ICMLICML-c3-2013-DingRIS #random #topic
Topic Discovery through Data Dependent and Random Projections (WD, MHR, PI, VS), pp. 1202–1210.
ICMLICML-c3-2013-KimS #approximate #modelling #topic
Manifold Preserving Hierarchical Topic Models for Quantization and Approximation (MK, PS), pp. 1373–1381.
ICMLICML-c3-2013-WeinshallLH #topic #word
LDA Topic Model with Soft Assignment of Descriptors to Words (DW, GL, DH), pp. 711–719.
KDDKDD-2013-DanilevskyWTNCDWH #mining #named #semistructured data #topic
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 #topic
One theme in all views: modeling consensus topics in multiple contexts (JT, MZ, QM), pp. 5–13.
KDDKDD-2013-WangDDZNTH #framework #mining #recursion #topic
A phrase mining framework for recursive construction of a topical hierarchy (CW, MD, ND, YZ, PN, TT, JH), pp. 437–445.
KDDKDD-2013-YuanCMSM #topic #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 #topic
Scalable text and link analysis with mixed-topic link models (YZ, XY, LG, CM), pp. 473–481.
KDDKDD-2013-ZhuZZZ #modelling #scalability #topic
Scalable inference in max-margin topic models (JZ, XZ, LZ, BZ), pp. 964–972.
MLDMMLDM-2013-KokkulaM #classification #detection #synthesis #topic
Classification and Outlier Detection Based on Topic Based Pattern Synthesis (SK, NMM), pp. 99–114.
MLDMMLDM-2013-LeeBZ #fuzzy #logic #multi #summary #topic #using
Multi-document Text Summarization Using Topic Model and Fuzzy Logic (SL, SB, YZ), pp. 159–168.
MLDMMLDM-2013-LiM #community #mining #network #topic
Mining Groups of Common Interest: Discovering Topical Communities with Network Flows (LL, NDM), pp. 405–420.
MLDMMLDM-2013-MartineauCF #algorithm #independence #named #topic
TISA: Topic Independence Scoring Algorithm (JCM, DC, TF), pp. 555–570.
RecSysRecSys-2013-BelemSAG #recommendation #topic
Topic diversity in tag recommendation (FB, RLTS, JMA, MAG), pp. 141–148.
RecSysRecSys-2013-HuE #modelling #online #recommendation #social #social media #topic
Spatial topic modeling in online social media for location recommendation (BH, ME), pp. 25–32.
RecSysRecSys-2013-KrestelS #recommendation #topic
Recommending patents based on latent topics (RK, PS), pp. 395–398.
RecSysRecSys-2013-McAuleyL #bibliography #comprehension #rating #topic
Hidden factors and hidden topics: understanding rating dimensions with review text (JJM, JL), pp. 165–172.
SEKESEKE-2013-HeDWCL #collaboration #topic
Comparing Collaborative Filtering Methods Based on User-Topic Ratings (TH, XD, WW, ZC, JL), pp. 312–317.
SIGIRSIGIR-2013-ChaBHC #analysis #modelling #network #social #topic
Incorporating popularity in topic models for social network analysis (YC, BB, CCH, JC), pp. 223–232.
SIGIRSIGIR-2013-ChenALC #detection #microblog #topic
Emerging topic detection for organizations from microblogs (YC, HA, ZL, TSC), pp. 43–52.
SIGIRSIGIR-2013-DeveaudSB #topic
Estimating topical context by diverging from external resources (RD, ES, PB), pp. 1001–1004.
SIGIRSIGIR-2013-GangulyGLJ #feedback #named #navigation #topic #user interface
TopicVis: a GUI for topic-based feedback and navigation (DG, MG, JL, GJFJ), pp. 1103–1104.
SIGIRSIGIR-2013-HingmireCPC #classification #documentation #topic
Document classification by topic labeling (SH, SC, GKP, SC), pp. 877–880.
SIGIRSIGIR-2013-JameelL #order #segmentation #topic #word
An unsupervised topic segmentation model incorporating word order (SJ, WL), pp. 203–212.
SIGIRSIGIR-2013-JiangN #mining #topic #web
Mining web search topics with diverse spatiotemporal patterns (DJ, WN), pp. 881–884.
SIGIRSIGIR-2013-LiLSLC #automation #novel #topic
A novel topic model for automatic term extraction (SL, JL, TS, WL, BC), pp. 885–888.
SIGIRSIGIR-2013-MaxwellC #query #topic #using
Compact query term selection using topically related text (KTM, WBC), pp. 583–592.
SIGIRSIGIR-2013-MehrotraSBX #automation #microblog #modelling #topic #twitter
Improving LDA topic models for microblogs via tweet pooling and automatic labeling (RM, SS, WLB, LX), pp. 889–892.
SIGIRSIGIR-2013-WangZS #modelling #semantics #topic #using
Semantic hashing using tags and topic modeling (QW, DZ, LS), pp. 213–222.
SIGIRSIGIR-2013-ZhuMZC #multi #topic
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 #topic #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 #topic
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 #topic #using
TopDocs: Using Software Architecture Knowledge Base for Generating Topical Documents (VPE, OH, TV, KK), pp. 191–195.
ASEASE-2012-NguyenNNLS #debugging #detection #information retrieval #modelling #topic
Duplicate bug report detection with a combination of information retrieval and topic modeling (ATN, TTN, TNN, DL, CS), pp. 70–79.
HTHT-2012-RecueroA #on the #topic #twitter
On the rise of artificial trending topics in twitter (RR, RA), pp. 305–306.
ITiCSEITiCSE-2012-ChorH #topic
CS1001.py: a topic-based introduction to computer science (BC, RH), pp. 215–220.
WRLAWRLA-J-2010-Marti-OlietPV12 #bibliography #logic #topic
Rewriting logic bibliography by topic: 1990-2011 (NMO, MP, AV), pp. 782–815.
CSMRCSMR-2012-GrantCS #maintenance #modelling #topic #using
Using Topic Models to Support Software Maintenance (SG, JRC, DBS), pp. 403–408.
ICPCICPC-2012-CorleyKK #modelling #source code #topic
Modeling the ownership of source code topics (CSC, EAK, NAK), pp. 173–182.
ICSMEICSM-2012-HindleBZN #analysis #developer #implementation #question #requirements #topic
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 #topic
Retrieving software maintenance history with topic models (SY), pp. 621–624.
MSRMSR-2012-ChenTNH #fault #modelling #topic #using
Explaining software defects using topic models (THC, SWT, MN, AEH), pp. 189–198.
MSRMSR-2012-MartiePSL #android #debugging #roadmap #topic
Trendy bugs: Topic trends in the Android bug reports (LM, VKP, HS, CVL), pp. 120–123.
WCREWCRE-2012-HanZFHWS #analysis #android #comprehension #debugging #topic
Understanding Android Fragmentation with Topic Analysis of Vendor-Specific Bugs (DH, CZ, XF, AH, KW, ES), pp. 83–92.
CHICHI-2012-WangK #development #exclamation #topic #twitter
Twitter and the development of an audience: those who stay on topic thrive! (YCW, RK), pp. 1515–1518.
CIKMCIKM-2012-BohmKN #topic
Latent topics in graph-structured data (CB, GK, FN), pp. 2663–2666.
CIKMCIKM-2012-CaballeroBA #detection #topic
The generalized dirichlet distribution in enhanced topic detection (KLCE, JB, RA), pp. 773–782.
CIKMCIKM-2012-Diaz-AvilesDGSN #online #recommendation #topic #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 #topic
Joint topic modeling for event summarization across news and social media streams (WG, PL, KD), pp. 1173–1182.
CIKMCIKM-2012-JiangVLN #framework #named #topic #web
G-WSTD: a framework for geographic web search topic discovery (DJ, JV, KWTL, WN), pp. 1143–1152.
CIKMCIKM-2012-JiXWH #community #retrieval #topic
Question-answer topic model for question retrieval in community question answering (ZJ, FX, BW, BH), pp. 2471–2474.
CIKMCIKM-2012-Kawamae #topic #word
Theme chronicle model: chronicle consists of timestamp and topical words over each theme (NK), pp. 2065–2069.
CIKMCIKM-2012-KimKKO #modelling #process #recursion #topic
Modeling topic hierarchies with the recursive chinese restaurant process (JHK, DK, SK, AHO), pp. 783–792.
CIKMCIKM-2012-KimZRDHCL #mining #named #topic
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 #topic
Social book search: comparing topical relevance judgements and book suggestions for evaluation (MK, JK, GK), pp. 185–194.
CIKMCIKM-2012-KulkarniTHC #estimation #ranking #topic
Shard ranking and cutoff estimation for topically partitioned collections (AK, AST, DH, JC), pp. 555–564.
CIKMCIKM-2012-LiangXTC #recommendation #topic
Time-aware topic recommendation based on micro-blogs (HL, YX, DT, PC), pp. 1657–1661.
CIKMCIKM-2012-LiHTH #correlation #information management #semantics #topic #word
Incorporating word correlation into tag-topic model for semantic knowledge acquisition (FL, TH, XT, XH), pp. 1622–1626.
CIKMCIKM-2012-LiSSTDL #microblog #mining #topic
Mining topic-level opinion influence in microblog (DL, XS, GS, JT, YD, ZL), pp. 1562–1566.
CIKMCIKM-2012-MaoHYL #integration #modelling #topic
Hierarchical topic integration through semi-supervised hierarchical topic modeling (XM, JH, HY, XL), pp. 1612–1616.
CIKMCIKM-2012-MaoMZCYL #automation #topic
Automatic labeling hierarchical topics (XM, ZM, ZJZ, TSC, HY, XL), pp. 2383–2386.
CIKMCIKM-2012-MasadaT #gpu #topic
Extraction of topic evolutions from references in scientific articles and its GPU acceleration (TM, AT), pp. 1522–1526.
CIKMCIKM-2012-MaSYC #summary #topic
Topic-driven reader comments summarization (ZM, AS, QY, GC), pp. 265–274.
CIKMCIKM-2012-RenCJ #learning #topic
Topic based pose relevance learning in dance archives (RR, JPC, JMJ), pp. 2571–2574.
CIKMCIKM-2012-TangY #detection #named #roadmap #social #social media #statistics #topic
TUT: a statistical model for detecting trends, topics and user interests in social media (XT, CCY), pp. 972–981.
CIKMCIKM-2012-VydiswaranZRP #education #named #topic
BiasTrust: teaching biased users about controversial topics (VGVV, CZ, DR, PP), pp. 1905–1909.
CIKMCIKM-2012-WangHTH #network #topic
Author-conference topic-connection model for academic network search (JW, XH, XT, TH), pp. 2179–2183.
CIKMCIKM-2012-WeningerBH #documentation #graph #topic
Document-topic hierarchies from document graphs (TW, YB, JH), pp. 635–644.
CIKMCIKM-2012-XiangFWHR #corpus #detection #scalability #topic #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 #topic
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
Topic-sensitive probabilistic model for expert finding in question answer communities (GZ, SL, KL, JZ), pp. 1662–1666.
ECIRECIR-2012-VitaleFS #classification #topic
Classification of Short Texts by Deploying Topical Annotations (DV, PF, US), pp. 376–387.
ICMLICML-2012-BischofA #topic
Capturing topical content with frequency and exclusivity (JB, EA), p. 5.
ICMLICML-2012-ChenDB #metric #modelling #normalisation #random #topic
Dependent Hierarchical Normalized Random Measures for Dynamic Topic Modeling (CC, ND, WLB), p. 95.
ICMLICML-2012-KimKO #metric #parametricity #process #random #topic
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 #topic
Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems (SP, YL), p. 92.
ICMLICML-2012-SpiliopoulouS #sequence #topic
A Topic Model for Melodic Sequences (AS, AJS), p. 106.
ICPRICPR-2012-DeyG #behaviour #consistency #topic #twitter
Discovering regular and consistent behavioral patterns in topical tweeting (LD, BG), pp. 3464–3467.
ICPRICPR-2012-GujraniyaM #classification #modelling #performance #topic #using
Efficient classification using phrases generated by topic models (DG, MNM), pp. 2331–2334.
ICPRICPR-2012-YuCQW #correlation #multi #retrieval #topic
Cross-modal topic correlations for multimedia retrieval (JY, YC, ZQ, TW), pp. 246–249.
KDDKDD-2012-BawabMC #personalisation #query #recommendation #topic
Finding trending local topics in search queries for personalization of a recommendation system (ZAB, GHM, JFC), pp. 397–405.
KDDKDD-2012-ChenZC #topic
The contextual focused topic model (XC, MZ, LC), pp. 96–104.
KDDKDD-2012-MengWLZLW #summary #topic #twitter
Entity-centric topic-oriented opinion summarization in twitter (XM, FW, XL, MZ, SL, HW), pp. 379–387.
KDDKDD-2012-TangWYHZYGHXLU #analysis #mining #named #topic
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 #topic
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 #topic #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
Topic and Subject Detection in News Streams for Multi-document Summarization (FF, YS, AT), pp. 166–171.
SIGIRSIGIR-2012-ArnoldS #topic
A topic model of clinical reports (CWA, WS), pp. 1031–1032.
SIGIRSIGIR-2012-CaballeroA #feedback #statistics #topic
Incorporating statistical topic information in relevance feedback (KLCE, RA), pp. 1093–1094.
SIGIRSIGIR-2012-ChaC #analysis #modelling #topic #using
Social-network analysis using topic models (YC, JC), pp. 565–574.
SIGIRSIGIR-2012-GhoshSBGG #crowdsourcing #microblog #named #topic
Cognos: crowdsourcing search for topic experts in microblogs (SG, NKS, FB, NG, PKG), pp. 575–590.
SIGIRSIGIR-2012-HeHV #topic
Combining implicit and explicit topic representations for result diversification (JH, VH, APdV), pp. 851–860.
SIGIRSIGIR-2012-RobertsonK #evaluation #information retrieval #on the #topic
On per-topic variance in IR evaluation (SER, EK), pp. 891–900.
SIGIRSIGIR-2012-Tran #modelling #retrieval #social #social media #topic
Exploiting temporal topic models in social media retrieval (TAT), p. 999.
SIGIRSIGIR-2012-WangCXL #matrix #modelling #scalability #topic
Group matrix factorization for scalable topic modeling (QW, ZC, JX, HL), pp. 375–384.
SACSAC-2012-ChengZQ #detection #fine-grained #topic
Fine-grained topic detection in news search results (JC, JZ, SQ), pp. 912–917.
ASEASE-2011-NguyenNANN #approach #debugging #topic
A topic-based approach for narrowing the search space of buggy files from a bug report (ATN, TTN, JMAK, HVN, TNN), pp. 263–272.
DocEngDocEng-2011-RossiR #representation #topic #using
Building a topic hierarchy using the bag-of-related-words representation (RGR, SOR), pp. 195–204.
SIGMODSIGMOD-2011-AlvanakiMRW #detection #named #topic #web
EnBlogue: emergent topic detection in web 2.0 streams (FA, SM, KR, GW), pp. 1271–1274.
MSRMSR-2011-BernardiSZDP #question #topic #what
What topics do Firefox and Chrome contributors discuss? (MLB, CS, QZ, DD, MDP), pp. 234–237.
MSRMSR-2011-HindleEGM #analysis #automation #maintenance #process #topic
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 #topic
Modeling the evolution of topics in source code histories (SWT, BA, AEH, DB), pp. 173–182.
SCAMSCAM-2011-KellyAAH #bibliography #topic
Recovering a Balanced Overview of Topics in a Software Domain (MBK, JSA, BA, AEH), pp. 135–144.
WCREWCRE-2011-WangLJ #code search #dependence #graph #topic
Code Search via Topic-Enriched Dependence Graph Matching (SW, DL, LJ), pp. 119–123.
HCIHCI-DDA-2011-KogaT #recommendation #topic #twitter #using
Developing a User Recommendation Engine on Twitter Using Estimated Latent Topics (HK, TT), pp. 461–470.
CIKMCIKM-2011-AielloDOM #behaviour #clustering #query #topic
Behavior-driven clustering of queries into topics (LMA, DD, UO, FM), pp. 1373–1382.
CIKMCIKM-2011-AwadallahRW #comprehension #named #network #topic
OpinioNetIt: understanding the opinions-people network for politically controversial topics (RA, MR, GW), pp. 2481–2484.
CIKMCIKM-2011-BingLW #query #social #topic #using
Using query log and social tagging to refine queries based on latent topics (LB, WL, TLW), pp. 583–592.
CIKMCIKM-2011-JinLZYY #clustering #topic
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 #topic #using
Emerging topic detection using dictionary learning (SPK, PM, AB, VS), pp. 745–754.
CIKMCIKM-2011-LuCAK #clustering #documentation #segmentation #topic
Legal document clustering with built-in topic segmentation (QL, JGC, KAK, WK), pp. 383–392.
CIKMCIKM-2011-RenMWL #process #thread #topic #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 #topic
Probabilistic model for discovering topic based communities in social networks (MS, DC, TAF, LVS), pp. 2349–2352.
CIKMCIKM-2011-WangWLZZ #analysis #approach #classification #graph #hashtag #sentiment #topic #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
Topic modeling for named entity queries (XX, XY), pp. 2009–2012.
CIKMCIKM-2011-ZubiagaSFM #topic #twitter
Classifying trending topics: a typology of conversation triggers on Twitter (AZ, DS, VF, RM), pp. 2461–2464.
ECIRECIR-2011-GyllstromM #query #topic
Clash of the Typings — Finding Controversies and Children’s Topics Within Queries (KG, MFM), pp. 80–91.
ECIRECIR-2011-ItakuraCGTH #topic #wiki
Topical and Structural Linkage in Wikipedia (KYI, CLAC, SG, AT, WCH), pp. 460–465.
ECIRECIR-2011-KinsellaPB #classification #metadata #social #social media #topic #using
Topic Classification in Social Media Using Metadata from Hyperlinked Objects (SK, AP, JGB), pp. 201–206.
ECIRECIR-2011-NaveedSS #comprehension #evolution #named #topic
ATTention: Understanding Authors and Topics in Context of Temporal Evolution (NN, SS, SS), pp. 733–737.
ECIRECIR-2011-Robertson #evaluation #on the #topic
On the Contributions of Topics to System Evaluation (SR), pp. 129–140.
ECIRECIR-2011-WartenaW #recommendation #topic
Improving Tag-Based Recommendation by Topic Diversification (CW, MW), pp. 43–54.
ECIRECIR-2011-ZhaoJWHLYL #modelling #topic #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
Topic Modeling with Nonparametric Markov Tree (HC, DBD, LC), pp. 377–384.
ICMLICML-2011-LiZSC #integration #learning #modelling #on the #taxonomy #topic
On the Integration of Topic Modeling and Dictionary Learning (LL, MZ, GS, LC), pp. 625–632.
KDDKDD-2011-AndrzejewskiB #feedback #information retrieval #topic
Latent topic feedback for information retrieval (DA, DB), pp. 600–608.
KDDKDD-2011-DengHZYL #modelling #network #probability #topic
Probabilistic topic models with biased propagation on heterogeneous information networks (HD, JH, BZ, YY, CXL), pp. 1271–1279.
KDDKDD-2011-HongDGT #multi #topic
A time-dependent topic model for multiple text streams (LH, BD, SG, KT), pp. 832–840.
KDDKDD-2011-HongYGD #modelling #roadmap #topic
Tracking trends: incorporating term volume into temporal topic models (LH, DY, JG, BDD), pp. 484–492.
KDDKDD-2011-KatariaKRSS #ambiguity #modelling #topic
Entity disambiguation with hierarchical topic models (SK, KSK, RR, PS, SHS), pp. 1037–1045.
KDDKDD-2011-LinSM #adaptation #modelling #online #topic #twitter
Smoothing techniques for adaptive online language models: topic tracking in tweet streams (JL, RS, WM), pp. 422–429.
KDDKDD-2011-RamageMD #mining #modelling #topic
Partially labeled topic models for interpretable text mining (DR, CDM, STD), pp. 457–465.
KDDKDD-2011-TangWGW #network #social #topic
Topic-level social network search (JT, SW, BG, YW), pp. 769–772.
KDDKDD-2011-WangB #collaboration #modelling #recommendation #topic
Collaborative topic modeling for recommending scientific articles (CW, DMB), pp. 448–456.
KDDKDD-2011-ZhuLCX #performance #topic
Conditional topical coding: an efficient topic model conditioned on rich features (JZ, NL, NC, EPX), pp. 475–483.
MLDMMLDM-2011-JiangMY #analysis #sentiment #topic
Topic Sentiment Change Analysis (YJ, WM, CTY), pp. 443–457.
RecSysRecSys-2011-Makrehchi #learning #recommendation #social #topic
Social link recommendation by learning hidden topics (MM), pp. 189–196.
SEKESEKE-2011-Han #database #topic
Quick Acquisition of Topic-based Information/Knowledge from News Site Databases (HH), pp. 343–348.
SIGIRSIGIR-2011-DengZH #modelling #network #topic
Collective topic modeling for heterogeneous networks (HD, BZ, JH), pp. 1109–1110.
SIGIRSIGIR-2011-KarimiSCK #behaviour #topic
Domain expert topic familiarity and search behavior (SK, FS, AC, SK), pp. 1135–1136.
SIGIRSIGIR-2011-Zhai #analysis #modelling #statistics #topic
Beyond search: statistical topic models for text analysis (CZ), pp. 3–4.
SIGIRSIGIR-2011-ZhengGYXBSHY #community #mining #topic
Mining topics on participations for community discovery (GZ, JG, LY, SX, SB, ZS, DH, YY), pp. 445–454.
BXBX-2011-Gibbons #bidirectional #programming #topic
HOT Topics in Bidirectional Programming (JG), p. 56.
ICSEICSE-2011-GethersSPOPL #named #question #topic
CodeTopics: which topic am I coding now? (MG, TS, MDP, RO, DP, ADL), pp. 1034–1036.
ICSEICSE-2011-NguyenNP #fault #predict #topic
Topic-based defect prediction (TTN, TNN, TMP), pp. 932–935.
ICSEICSE-2011-Thomas #mining #modelling #repository #topic #using
Mining software repositories using topic models (SWT), pp. 1138–1139.
DocEngDocEng-2010-DubucB #clustering #social #social media #topic
Structure-aware topic clustering in social media (JD, SB), pp. 247–250.
HTHT-2010-GuoJ #collaboration #personalisation #recommendation #topic
Topic-based personalized recommendation for collaborative tagging system (YG, JBDJ), pp. 61–66.
HTHT-2010-MeissGRFM #navigation #topic #web
Agents, bookmarks and clicks: a topical model of web navigation (MM, BG, JJR, AF, FM), pp. 229–234.
VLDBVLDB-2010-SmolaN #architecture #modelling #parallel #topic
An Architecture for Parallel Topic Models (AJS, SMN), pp. 703–710.
ITiCSEITiCSE-2010-Larraza-MendiluzeG #game studies #learning #process #topic #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 #topic #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 #topic #using
TopicXP: Exploring topics in source code using Latent Dirichlet Allocation (TS, BD, MG, DP), pp. 1–6.
SCAMSCAM-2010-ThomasAHB #evolution #modelling #topic #validation
Validating the Use of Topic Models for Software Evolution (SWT, BA, AEH, DB), pp. 55–64.
CHICHI-2010-BaoGGH #named #topic
Momentum: getting and staying on topic during a brainstorm (PB, EG, DG, DH), pp. 1233–1236.
CSCWCSCW-2010-GeyerD #topic
Inspired by the audience: a topic suggestion system for blog writers and readers (WG, CD), pp. 237–240.
CIKMCIKM-2010-CarmanCHB #modelling #personalisation #query #topic #towards #using
Towards query log based personalization using topic models (MJC, FC, MH, MB), pp. 1849–1852.
CIKMCIKM-2010-ChenHZLRHP #automation #image #probability #topic
A probabilistic topic-connection model for automatic image annotation (XC, XH, ZZ, CL, GR, TH, EKP), pp. 899–908.
CIKMCIKM-2010-HanZ #semantics #topic #web #wiki
Topic-driven web search result organization by leveraging wikipedia semantic knowledge (XH, JZ), pp. 1749–1752.
CIKMCIKM-2010-HarveyRC #modelling #ranking #social #topic #using
Ranking social bookmarks using topic models (MH, IR, MJC), pp. 1401–1404.
CIKMCIKM-2010-JeongT #multi #segmentation #topic
Multi-document topic segmentation (MJ, IT), pp. 1119–1128.
CIKMCIKM-2010-Kawamae #topic
Latent interest-topic model: finding the causal relationships behind dyadic data (NK), pp. 649–658.
CIKMCIKM-2010-LiHDTSQYLD #modelling #social #topic
Community-based topic modeling for social tagging (DL, BH, YD, JT, CRS, ZQ, EY, JL, TD), pp. 1565–1568.
CIKMCIKM-2010-LiSDX #multi #summary #topic
Exploiting novelty, coverage and balance for topic-focused multi-document summarization (XL, YDS, LD, CYX), pp. 1765–1768.
CIKMCIKM-2010-LiuTHJY #mining #network #topic
Mining topic-level influence in heterogeneous networks (LL, JT, JH, MJ, SY), pp. 199–208.
CIKMCIKM-2010-MadaniY #analysis #topic
Discovery of numerous specific topics via term co-occurrence analysis (OM, JY), pp. 1841–1844.
CIKMCIKM-2010-MiaoLTZ #approach #category theory #community #identification #modelling #topic
Identifying new categories in community question answering archives: a topic modeling approach (YM, CL, JT, LZ), pp. 1673–1676.
CIKMCIKM-2010-MinZWM #component #keyword #topic
Decomposing background topics from keywords by principal component pursuit (KM, ZZ, JW, YM), pp. 269–278.
CIKMCIKM-2010-NguyenKPT #image #topic
A feature-word-topic model for image annotation (CTN, NK, XHP, TT), pp. 1481–1484.
CIKMCIKM-2010-ShenWL #analysis #multi #summary #topic
Topic aspect analysis for multi-document summarization (CS, DW, TL), pp. 1545–1548.
CIKMCIKM-2010-TianWWRCM #detection #mobile #topic
Topic detection and organization of mobile text messages (YT, WW, XW, JR, CC, JM), pp. 1877–1880.
CIKMCIKM-2010-WestPP #automation #documentation #topic
Automatically suggesting topics for augmenting text documents (RW, DP, JP), pp. 929–938.
CIKMCIKM-2010-ZhangSZBA #documentation #mining #named #parallel #probability #topic
PTM: probabilistic topic mapping model for mining parallel document collections (DZ, JS, CZ, AB, NA), pp. 1653–1656.
CIKMCIKM-2010-ZhengGYXBSHY #community #graph #interactive #topic
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 #topic
Mining Neighbors’ Topicality to Better Control Authority Flow (ND, BDD, YW), pp. 653–657.
ECIRECIR-2010-HarveyBRC #modelling #personalisation #topic
Tripartite Hidden Topic Models for Personalised Tag Suggestion (MH, MB, IR, MJC), pp. 432–443.
ECIRECIR-2010-JagarlamudiD #corpus #multi #topic
Extracting Multilingual Topics from Unaligned Comparable Corpora (JJ, HDI), pp. 444–456.
ICMLICML-2010-ReisingerWSM #modelling #topic
Spherical Topic Models (JR, AW, BS, RJM), pp. 903–910.
ICMLICML-2010-WilliamsonWHB #modelling #process #topic
The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling (SW, CW, KAH, DMB), pp. 1151–1158.
ICMLICML-2010-ZhuX #random #topic
Conditional Topic Random Fields (JZ, EPX), pp. 1239–1246.
ICPRICPR-2010-BicegoLFD #array #clustering #modelling #topic
Biclustering of Expression Microarray Data with Topic Models (MB, PL, AF, MD), pp. 2728–2731.
ICPRICPR-2010-CheongL #case study #clustering #detection #topic #twitter
A Study on Detecting Patterns in Twitter Intra-topic User and Message Clustering (MC, VCSL), pp. 3125–3128.
ICPRICPR-2010-ErgulA #classification #topic #using
Scene Classification Using Spatial Pyramid of Latent Topics (EE, NA), pp. 3603–3606.
ICPRICPR-2010-JinLLWG #ranking #topic
Topic-Sensitive Tag Ranking (YJ, RL, ZL, KW, XG), pp. 629–632.
KDDKDD-2010-HeP #topic
Topic dynamics: an alternative model of bursts in streams of topics (DH, DSPJ), pp. 443–452.
KDDKDD-2010-HuhF #learning #modelling #topic
Discriminative topic modeling based on manifold learning (SH, SEF), pp. 653–662.
KDDKDD-2010-IwataYSU #modelling #multi #online #topic
Online multiscale dynamic topic models (TI, TY, YS, NU), pp. 663–672.
KDDKDD-2010-LuHCPHL #social #topic
The topic-perspective model for social tagging systems (CL, XH, XC, JrP, TH, ZL), pp. 683–692.
KDDKDD-2010-SatoN #modelling #process #topic #using
Topic models with power-law using Pitman-Yor process (IS, HN), pp. 673–682.
KDIRKDIR-2010-ScheinCHM #evaluation #novel #topic
Author Attribution Evaluation with Novel Topic Cross-validation (AIS, JFC, RJH, CHM), pp. 206–215.
RecSysRecSys-2010-Schirru #enterprise #recommendation #social #social media #topic
Topic-based recommendations in enterprise social media sharing platforms (RS), pp. 369–372.
SEKESEKE-2010-MarcaciniR #clustering #incremental #topic #using
Incremental Construction of Topic Hierarchies using Hierarchical Term Clustering (RMM, SOR), p. 553.
SIGIRSIGIR-2010-AmatiACGG #on the #performance #retrieval #topic
On performance of topical opinion retrieval (GA, GA, VC, CG, GG), pp. 777–778.
SIGIRSIGIR-2010-ArapakisAJ #comparison #modelling #personalisation #predict #topic
A comparison of general vs personalised affective models for the prediction of topical relevance (IA, KA, JMJ), pp. 371–378.
SIGIRSIGIR-2010-Kawamae10a #topic
Author interest topic model (NK), pp. 887–888.
SIGIRSIGIR-2010-RajuKU #topic #web
Suggesting related topics in web search (SR, SK, RU), p. 705.
SACSAC-2010-BicegoLOP #array #classification #modelling #topic #using
Expression microarray classification using topic models (MB, PL, BO, AP), pp. 1516–1520.
ICSEICSE-2010-AsuncionAT #modelling #topic #traceability
Software traceability with topic modeling (HUA, AUA, RNT), pp. 95–104.
DATEDATE-2009-Anghel #concurrent #development #topic
HOT TOPIC — Concurrent SoC development and end-to-end planning (LA), p. 430.
DocEngDocEng-2009-SteinbergerJ #novel #summary #topic
Update summarization based on novel topic distribution (JS, KJ), pp. 205–213.
DRRDRR-2009-Ding #analysis #documentation #image #recognition #research #topic
Advanced topics in character recognition and document analysis: Research works in Intelligent Image & Document Research Lab, Tsinghua University (XD), pp. 1–10.
HTHT-2009-BruckschenVR #navigation #ontology #ranking #topic
Named entities for hot topics ranking and ontology navigation aid (MB, RV, SJR), pp. 373–374.
ICDARICDAR-2009-MansjurWJ #automation #categorisation #classification #kernel #learning #topic #using
Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization (DSM, TSW, BHJ), pp. 1086–1090.
VLDBVLDB-2009-Rajaraman #named #topic #using #web
Kosmix: High-Performance Topic Exploration using the Deep Web (AR), pp. 1524–1529.
ITiCSEITiCSE-2009-DennyLHP #repository #student #topic
Coverage of course topics in a student generated MCQ repository (PD, ALR, JH, HCP), pp. 11–15.
ICSMEICSM-2009-HindleGH #analysis #developer #topic #what
What’s hot and what’s not: Windowed developer topic analysis (AH, MWG, RCH), pp. 339–348.
ICSMEICSM-2009-LiuPFGC #modelling #topic
Modeling class cohesion as mixtures of latent topics (YL, DP, RF, TG, NC), pp. 233–242.
MSRMSR-2009-BajracharyaL #code search #mining #topic
Mining search topics from a code search engine usage log (SKB, CVL), pp. 111–120.
MSRMSR-2009-LinsteadB #debugging #gnome #mining #modelling #statistics #topic
Mining the coherence of GNOME bug reports with statistical topic models (EL, PB), pp. 99–102.
CHICHI-2009-BergstromK #clustering #human-computer #topic
Conversation clusters: grouping conversation topics through human-computer dialog (TB, KK), pp. 2349–2352.
CHICHI-2009-KitturCS #topic #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 #topic
Propagation Modeling and Analysis of Incidental Topics in Blogosphere (LZ, RY, XG, ML), pp. 401–410.
CIKMCIKM-2009-BalasubramanianC #automation #generative #modelling #topic #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 #topic
Probabilistic models of ranking novel documents for faceted topic retrieval (BC, PC), pp. 1287–1296.
CIKMCIKM-2009-ChenLAA #image #learning #modelling #online #probability #topic
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 #topic
Relying on topic subsets for system ranking estimation (CH, DH, FdJ, LA), pp. 1859–1862.
CIKMCIKM-2009-HeCPQMG #detection #evolution #how #question #topic
Detecting topic evolution in scientific literature: how can citations help? (QH, BC, JP, BQ, PM, CLG), pp. 957–966.
CIKMCIKM-2009-LeeVRKMI #adaptation #performance #topic #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 #topic
Joint sentiment/topic model for sentiment analysis (CL, YH), pp. 375–384.
CIKMCIKM-2009-LiuZPQCL #analysis #interactive #summary #topic #visual notation
Interactive, topic-based visual text summarization and analysis (SL, MXZ, SP, WQ, WC, XL), pp. 543–552.
CIKMCIKM-2009-MasadaFTHSO #analysis #optimisation #topic
Dynamic hyperparameter optimization for bayesian topical trend analysis (TM, DF, AT, TH, YS, KO), pp. 1831–1834.
CIKMCIKM-2009-MisraYJC #modelling #segmentation #topic
Text segmentation via topic modeling: an analytical study (HM, FY, JMJ, OC), pp. 1553–1556.
CIKMCIKM-2009-QianLLXSS #community #development #topic #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 #topic #using
Finding the topical anchors of a context using lexical cooccurrence data (ARR, SS), pp. 1741–1744.
CIKMCIKM-2009-SongPLZQ #keyword #modelling #ranking #topic
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
Topic analysis for topic-focused multi-document summarization (XW), pp. 1609–1612.
CIKMCIKM-2009-WangCH #algorithm #clustering #performance #scalability #topic #web
An efficient clustering algorithm for large-scale topical web pages (LW, PC, LH), pp. 1851–1854.
ECIRECIR-2009-BaillieCC #distributed #information retrieval #quality #topic
A Topic-Based Measure of Resource Description Quality for Distributed Information Retrieval (MB, MJC, FC), pp. 485–496.
ECIRECIR-2009-BolelliEG #detection #topic #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 #topic
A Comparative Study of Utilizing Topic Models for Information Retrieval (XY, JA), pp. 29–41.
ICMLICML-2009-AndrzejewskiZC #modelling #topic
Incorporating domain knowledge into topic modeling via Dirichlet Forest priors (DA, XZ, MC), pp. 25–32.
ICMLICML-2009-DoyleE #modelling #topic
Accounting for burstiness in topic models (GD, CE), pp. 281–288.
ICMLICML-2009-LiuNG #community #modelling #topic
Topic-link LDA: joint models of topic and author community (YL, ANM, WG), pp. 665–672.
ICMLICML-2009-PutthividhyaAN #independence #modelling #topic
Independent factor topic models (DP, HTA, SSN), pp. 833–840.
ICMLICML-2009-WallachMSM #evaluation #modelling #topic
Evaluation methods for topic models (HMW, IM, RS, DMM), pp. 1105–1112.
ICMLICML-2009-ZhuAX #classification #modelling #named #topic
MedLDA: maximum margin supervised topic models for regression and classification (JZ, AA, EPX), pp. 1257–1264.
KDDKDD-2009-AhmedXCM #biology #mining #modelling #topic
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 #topic
Efficient methods for topic model inference on streaming document collections (LY, DMM, AM), pp. 937–946.
KDIRKDIR-2009-Biryukov #database #detection #topic
Topic Detection in Bibliographic Databases (MB), pp. 236–242.
KDIRKDIR-2009-CamposDJ #clustering #topic #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 #topic
Hierarchical Taxonomy Extraction by Mining Topical Query Sessions (MFF, DGA), pp. 229–235.
KDIRKDIR-2009-HeyerHT #topic
Change of Topics over Time — Tracking Topics by their Change of Meaning (GH, FH, ST), pp. 223–228.
RecSysRecSys-2009-PhelanMS #realtime #recommendation #topic #twitter #using
Using twitter to recommend real-time topical news (OP, KM, BS), pp. 385–388.
SIGIRSIGIR-2009-ArapakisKJK #modelling #predict #topic
Modeling facial expressions and peripheral physiological signals to predict topical relevance (IA, IK, JMJ, IK), pp. 728–729.
SIGIRSIGIR-2009-BaileyKG #topic
Undergraduates’ evaluations of assigned search topics (EWB, DK, KG), pp. 812–813.
SIGIRSIGIR-2009-BolourianMR #named #quantifier #topic #using
SugarCube: quantification of topic propagation in the blogosphere using percolation theory (AAB, YM, CJvR), pp. 786–787.
SIGIRSIGIR-2009-CartrightAD #topic
Characterizing the subjectivity of topics (MAC, EA, JD), pp. 642–643.
SIGIRSIGIR-2009-ChangDLZ #ranking #topic
Enhancing topical ranking with preferences from click-through data (YC, AD, CL, ZZ), pp. 666–667.
SIGIRSIGIR-2009-GuoZCZG #documentation #topic
A latent topic model for linked documents (ZG, SZ, YC, ZZ, YG), pp. 720–721.
SIGIRSIGIR-2009-Ha-ThucMHS #topic
A relevance-based topic model for news event tracking (VHT, YM, CGH, PS), pp. 764–765.
SIGIRSIGIR-2009-He #information retrieval #topic
Topic structure for information retrieval (JH), p. 850.
SIGIRSIGIR-2009-LiLLL #framework #information retrieval #probability #ranking #topic
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 #topic #using
Personalizing information retrieval using task features, topic knowledge, and task product (JL), p. 855.
SIGIRSIGIR-2009-PunithaJG #automation #feature model #multi #query #retrieval #topic #using #video
Topic prerogative feature selection using multiple query examples for automatic video retrieval (PP, JMJ, AG), pp. 804–805.
SIGIRSIGIR-2009-TrotmanCL #problem #topic #visualisation
Visualizing the problems with the INEX topics (AT, MdRGC, ML), p. 826.
SIGIRSIGIR-2009-Voorhees #set #topic
Topic set size redux (EMV), pp. 806–807.
SIGIRSIGIR-2009-ZhuWVC #evaluation #information retrieval #query #topic
Topic (query) selection for IR evaluation (JZ, JW, VV, IJC), pp. 802–803.
SACSAC-2009-PlattMG #classification #detection #topic
Improving classification based off-topic search detection via category relationships (AP, SSRM, NG), pp. 869–874.
WICSAWICSA-2008-EmeryH #architecture #framework #topic
Updating IEEE 1471: Architecture Frameworks and Other Topics (DEE, RH), pp. 303–306.
DATEDATE-2008-BougardMBKC #3d #how #integration #topic
HOT TOPIC — 3D Integration or How to Scale in the 21st Century (BB, PM, LB, DKS, NC), p. 1516.
DocEngDocEng-2008-Shilman #documentation #topic
Aggregate documents: making sense of a patchwork of topical documents (MS), pp. 3–7.
SIGMODSIGMOD-2008-BoimM #topic
Enriching topic-based publish-subscribe systems with related content (RB, TM), pp. 1327–1330.
SIGMODSIGMOD-2008-WuRSM #database #topic
Discovering topical structures of databases (WW, BR, YS, RM), pp. 1019–1030.
STOCSTOC-2008-ODonnell #analysis #topic
Some topics in analysis of boolean functions (RO), pp. 569–578.
CHICHI-2008-DugganP #topic #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 #topic
Modeling hidden topics on document manifold (DC, QM, JH, CZ), pp. 911–920.
CIKMCIKM-2008-ChemuduguntaSS #concept #modelling #statistics #topic
Combining concept hierarchies and statistical topic models (CC, PS, MS), pp. 1469–1470.
CIKMCIKM-2008-JonesK #automation #query #segmentation #topic
Beyond the session timeout: automatic hierarchical segmentation of search topics in query logs (RJ, KLK), pp. 699–708.
CIKMCIKM-2008-Lee #categorisation #documentation #set #topic
Incorporating topical support documents into a small training set in text categorization (KSL), pp. 1511–1512.
CIKMCIKM-2008-WangZRM #automation #online #ranking #topic #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 #topic
Evaluating topic models for information retrieval (XY, JA), pp. 1431–1432.
ECIRECIR-2008-FrankeA #collaboration #enterprise #topic
Collaborative Topic Tracking in an Enterprise Environment (CF, OA), pp. 632–636.
ECIRECIR-2008-JonesL #feedback #hypermedia #topic
Focused Browsing: Providing Topical Feedback for Link Selection in Hypertext Browsing (GJFJ, QL), pp. 700–704.
ECIRECIR-2008-NaKL #documentation #modelling #multi #normalisation #topic
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 #topic
Memory bounded inference in topic models (RG, MW, PP), pp. 344–351.
ICPRICPR-2008-YamaguchiM #categorisation #classification #image #probability #topic
Image categorization by a classifier based on probabilistic topic model (TY, MM), pp. 1–4.
KDDKDD-2008-BonchiCDG #composition #query #topic
Topical query decomposition (FB, CC, DD, AG), pp. 52–60.
KDDKDD-2008-IwataYU #documentation #probability #semantics #topic #visualisation
Probabilistic latent semantic visualization: topic model for visualizing documents (TI, TY, NU), pp. 363–371.
KDDKDD-2008-LingMZS #mining #multi #topic
Mining multi-faceted overviews of arbitrary topics in a text collection (XL, QM, CZ, BRS), pp. 497–505.
KDDKDD-2008-NallapatiAXC #modelling #topic
Joint latent topic models for text and citations (RN, AA, EPX, WWC), pp. 542–550.
KDDKDD-2008-ZhangSPN #documentation #learning #multi #topic #web
Learning from multi-topic web documents for contextual advertisement (YZ, ACS, JCP, MN), pp. 1051–1059.
RecSysRecSys-2008-GeyerDMMF #online #recommendation #self #topic
Recommending topics for self-descriptions in online user profiles (WG, CD, DRM, MJM, JF), pp. 59–66.
SIGIRSIGIR-2008-Banerjee #classification #corpus #modelling #topic #using
Improving text classification accuracy using topic modeling over an additional corpus (SB), pp. 867–868.
SIGIRSIGIR-2008-BerlocherLK #named #topic
TopicRank: bringing insight to users (IB, KIL, KK), pp. 703–704.
SIGIRSIGIR-2008-ChenC #named #novel #summary #topic
TSCAN: a novel method for topic summarization and content anatomy (CCC, MCC), pp. 579–586.
SIGIRSIGIR-2008-GuanWCBW #crawling #effectiveness #estimation #online #topic #using
Guide focused crawler efficiently and effectively using on-line topical importance estimation (ZG, CW, CC, JB, JW), pp. 757–758.
SIGIRSIGIR-2008-NieD #topic
Separate and inequal: preserving heterogeneity in topical authority flows (LN, BDD), pp. 443–450.
SIGIRSIGIR-2008-PengL #analysis #evolution #topic #using
Author-topic evolution analysis using three-way non-negative Paratucker (WP, TL), pp. 819–820.
SIGIRSIGIR-2008-WuO #classification #topic
Bilingual topic aspect classification with a few training examples (YW, DWO), pp. 203–210.
SIGIRSIGIR-2008-XueDYY #classification #topic
Topic-bridged PLSA for cross-domain text classification (GRX, WD, QY, YY), pp. 627–634.
SIGIRSIGIR-2008-ZhangY #generative #retrieval #sentiment #topic
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 #topic
A topical PageRank based algorithm for recommender systems (LZ, KZ, CL), pp. 713–714.
OOPSLAOOPSLA-2008-BaldiLLB #aspect-oriented #formal method #topic
A theory of aspects as latent topics (PB, CVL, EL, SKB), pp. 543–562.
ASEASE-2007-LinsteadRBLB #concept #mining #modelling #probability #topic
Mining concepts from code with probabilistic topic models (EL, PR, SKB, CVL, PB), pp. 461–464.
HTHT-2007-KehoeP #speech #synthesis #topic
Transforming DITA topics for speech synthesis output (AK, IJP), pp. 147–148.
ICDARICDAR-2007-WickRL #fault #modelling #topic #using
Context-Sensitive Error Correction: Using Topic Models to Improve OCR (MLW, MGR, EGLM), pp. 1168–1172.
SIGMODSIGMOD-2007-MiloZV #clustering #topic
Boosting topic-based publish-subscribe systems with dynamic clustering (TM, TZ, EV), pp. 749–760.
WCREWCRE-J-2005-KuhnDG07 #clustering #identification #semantics #source code #topic
Semantic clustering: Identifying topics in source code (AK, SD, TG), pp. 230–243.
MSRMSR-2007-LinsteadRBLB #developer #eclipse #mining #modelling #topic
Mining Eclipse Developer Contributions via Author-Topic Models (EL, PR, SKB, CVL, PB), p. 30.
ICEISICEIS-AIDSS-2007-YasuiLGWT #collaboration #online #topic
Delineating Topic and Discussant Transitions in Online Collaborative Environments (NIY, XL, DEG, YW, HT), pp. 14–21.
CIKMCIKM-2007-OuyangLL #learning #summary #topic
Developing learning strategies for topic-based summarization (OY, SL, WL), pp. 79–86.
CIKMCIKM-2007-WangG #image #topic #word
Translating topics to words for image annotation (YW, SG), pp. 995–998.
ECIRECIR-2007-AshooriL #repository #topic #using #xml
Using Topic Shifts for Focussed Access to XML Repositories (EA, ML), pp. 444–455.
ECIRECIR-2007-ShahE #detection #documentation #metric #representation #topic
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 #topic
Ad Hoc Retrieval of Documents with Topical Opinion (JS, OV), pp. 405–417.
ICMLICML-2007-MimnoLM #topic
Mixtures of hierarchical topics with Pachinko allocation (DMM, WL, AM), pp. 633–640.
KDDKDD-2007-JoLG #correlation #detection #graph #research #topic
Detecting research topics via the correlation between graphs and texts (YJ, CL, CLG), pp. 370–379.
KDDKDD-2007-MeiSZ #automation #modelling #multi #topic
Automatic labeling of multinomial topic models (QM, XS, CZ), pp. 490–499.
KDDKDD-2007-NallapatiDLU #multi #topic
Multiscale topic tomography (RN, SD, JDL, KU), pp. 520–529.
KDDKDD-2007-PonCBC #multi #topic
Tracking multiple topics for finding interesting articles (RKP, AFC, DB, TC), pp. 560–569.
KDDKDD-2007-SatoN #documentation #information management #multi #parametricity #topic #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 #topic
Mining correlated bursty topic patterns from coordinated text streams (XW, CZ, XH, RS), pp. 784–793.
SIGIRSIGIR-2007-AzzopardiRB #analysis #query #topic #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 #topic #web
Varying approaches to topical web query classification (SMB, ECJ, AC, OF), pp. 783–784.
SIGIRSIGIR-2007-ChibaneD #algorithm #layout #segmentation #topic #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 #topic #using
Using collaborative queries to improve retrieval for difficult topics (XF, DK, CS), pp. 879–880.
SIGIRSIGIR-2007-SitbonB #segmentation #topic #using
Topic segmentation using weighted lexical links (WLL) (LS, PB), pp. 737–738.
SIGIRSIGIR-2007-SunMGYZ #detection #documentation #multi #segmentation #topic
Topic segmentation with shared topic detection and alignment of multiple documents (BS, PM, CLG, JY, HZ), pp. 199–206.
SACSAC-2007-PlattGM #detection #on the #query #sequence #topic #using
On using user query sequence to detect off-topic search (AP, NG, SSRM), pp. 882–883.
SACSAC-2007-Savoy #topic #why
Why do successful search systems fail for some topics (JS), pp. 872–877.
ICEISICEIS-HCI-2006-EspirituST #automation #named #semantics #topic #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 #topic
The ViskiMap Toolkit: Extending Mediawiki with Topic Maps (CE, ES, TT), pp. 420–438.
CIKMCIKM-2006-GollapudiP #symmetry #topic
Exploiting asymmetry in hierarchical topic extraction (SG, RP), pp. 475–482.
CIKMCIKM-2006-LiC #detection #topic #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
Topic evolution and social interactions: how authors effect research (DZ, XJ, HZ, CLG), pp. 248–257.
ECIRECIR-2006-ParaparB #identification #retrieval #topic
Sentence Retrieval with LSI and Topic Identification (DP, AB), pp. 119–130.
ECIRECIR-2006-WenRB #behaviour #online #topic
The Effects on Topic Familiarity on Online Search Behaviour and Use of Relevance Criteria (LW, IR, PB), pp. 456–459.
ICMLICML-2006-BleiL #modelling #topic
Dynamic topic models (DMB, JDL), pp. 113–120.
ICMLICML-2006-KrauseLG #topic
Data association for topic intensity tracking (AK, JL, CG), pp. 497–504.
ICMLICML-2006-LiM #correlation #modelling #topic
Pachinko allocation: DAG-structured mixture models of topic correlations (WL, AM), pp. 577–584.
ICMLICML-2006-Wallach #modelling #topic
Topic modeling: beyond bag-of-words (HMW), pp. 977–984.
KDDKDD-2006-KumarPT #segmentation #topic
Hierarchical topic segmentation of websites (RK, KP, AT), pp. 257–266.
KDDKDD-2006-NewmanCS #modelling #statistics #topic
Statistical entity-topic models (DN, CC, PS), pp. 680–686.
KDDKDD-2006-WangM #roadmap #topic
Topics over time: a non-Markov continuous-time model of topical trends (XW, AM), pp. 424–433.
SIGIRSIGIR-2006-LiLL #topic
Enhancing topic tracking with temporal information (BL, WL, QL), pp. 667–668.
SIGIRSIGIR-2006-NieDQ #analysis #topic #web
Topical link analysis for web search (LN, BDD, XQ), pp. 91–98.
ITiCSEITiCSE-2005-Olsevicova #topic
Application of topic maps in e-learning environment (KO), p. 363.
ICEISICEIS-v1-2005-OuziriVF #approach #integration #logic #modelling #topic
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 #topic
Connecting topics in document collections with stepping stones and pathways (FADN, EAF, XY), pp. 91–98.
CIKMCIKM-2005-GoharianM #detection #information management #on the #topic
On off-topic access detection in information systems (NG, LM), pp. 353–354.
CIKMCIKM-2005-KumaranJM #topic #web
Biasing web search results for topic familiarity (GK, RJ, OM), pp. 271–272.
CIKMCIKM-2005-TangHCG #crawling #quality #topic
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 #topic
On evaluation of adaptive topic tracking systems (TE, DWO), pp. 597–598.
SIGIRSIGIR-2005-HarabagiuL #multi #summary #topic
Topic themes for multi-document summarization (SMH, VFL), pp. 202–209.
SIGIRSIGIR-2005-KuLWC #detection #summary #topic
Major topic detection and its application to opinion summarization (LWK, LYL, THW, HHC), pp. 627–628.
SIGIRSIGIR-2005-LinH #fault #retrieval #set #topic
Revisiting the effect of topic set size on retrieval error (WHL, AGH), pp. 637–638.
SIGIRSIGIR-2005-TrieschniggK #approach #detection #scalability #topic
Scalable hierarchical topic detection: exploring a sample based approach (DT, WK), pp. 655–656.
SACSAC-2005-CuiK #analysis #documentation #topic
Topic activation analysis for document streams based on document arrival rate and relevance (CC, HK), pp. 1089–1095.
DocEngDocEng-2004-YehC #identification #topic
Creation of topic map by identifying topic chain in chinese (CLY, YCC), pp. 112–114.
DRRDRR-2004-HurstN #documentation #online #sentiment #topic
Retrieving topical sentiments from online document collections (MFH, KN), pp. 27–34.
ICEISICEIS-v1-2004-LaiCC #feedback #incremental #topic
Applying Cross-Topic Relationships to Incremental Relevance Feedback (TCHL, SCfC, KFLC), pp. 356–363.
ICEISICEIS-v2-2004-FotzoG #documentation #information management #topic
Information Access via Topic Hierarchies and Thematic Annotations from Document Collections (HNF, PG), pp. 69–76.
ICEISICEIS-v5-2004-MarzalBMC #analysis #documentation #perspective #topic
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 #topic
A practical web-based approach to generating topic hierarchy for text segments (SLC, LFC), pp. 127–136.
CIKMCIKM-2004-MaguitmanLRM #automation #topic #towards
Dynamic extraction topic descriptors and discriminators: towards automatic context-based topic search (AGM, DBL, TR, FM), pp. 463–472.
CIKMCIKM-2004-NallapatiFPA #thread #topic
Event threading within news topics (RN, AF, FP, JA), pp. 446–453.
ECIRECIR-2004-KellyDBA #approach #modelling #topic
A User-Centered Approach to Evaluating Topic Models (DK, FD, NJB, JA), pp. 27–41.
KDDKDD-2004-MorinagaY #finite #roadmap #topic #using
Tracking dynamics of topic trends using a finite mixture model (SM, KY), pp. 811–816.
KDDKDD-2004-SteyversSRG #modelling #probability #topic
Probabilistic author-topic models for information discovery (MS, PS, MRZ, TLG), pp. 306–315.
SIGIRSIGIR-2004-BeitzelJCGF #analysis #query #scalability #topic #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
Topic prediction based on comparative retrieval rankings (CB), pp. 506–507.
SIGIRSIGIR-2004-LarkeyFCL #modelling #multi #topic
Language-specific models in multilingual topic tracking (LSL, FF, MEC, VL), pp. 402–409.
SIGIRSIGIR-2004-PlachourasO #topic
Usefulness of hyperlink structure for query-biased topic distillation (VP, IO), pp. 448–455.
SIGIRSIGIR-2004-WhiteJ #case study #metric #similarity #topic
A study of topic similarity measures (RWW, JMJ), pp. 520–521.
SIGIRSIGIR-2004-WuMMTWLLB #topic
Human versus machine in the topic distillation task (MW, GM, AM, MC(T, RW, YL, HJL, NJB), pp. 385–392.
DATEDATE-2003-WittmannHWTS #communication #design #topic
Hot Topic Session: RF Design Technology for Highly Integrated Communication Systems (RW, JH, HJW, GT, MS), pp. 10842–10849.
ITiCSEITiCSE-2003-Christensen #education #exclamation #testing #topic
Systematic testing should not be a topic in the computer science curriculum! (HBC), pp. 7–10.
CIKMCIKM-2003-ChengC #image #topic #web
Auto-generation of topic hierarchies for web images from users’ perspectives (PJC, LFC), pp. 544–547.
ECIRECIR-2003-MakkonenAS #detection #topic
Topic Detection and Tracking with Spatio-Temporal Evidence (JM, HAM, MS), pp. 251–265.
ECIRECIR-2003-Pons-PorrataLR #library #topic
Building a Hierarchy of Events and Topics for Newspaper Digital Libraries (APP, RBL, JRS), pp. 588–596.
KDDKDD-2003-SarawagiCG #learning #named #probability #topic
Cross-training: learning probabilistic mappings between topics (SS, SC, SG), pp. 177–186.
SIGIRSIGIR-2003-BawaMR #named #segmentation #set #topic
SETS: search enhanced by topic segmentation (MB, GSM, PR), pp. 306–313.
SIGIRSIGIR-2003-ChoiK #concept #topic #using
Topic distillation using hierarchy concept tree (IC, MK), pp. 371–372.
SIGIRSIGIR-2003-HuBZ #analysis #fault #topic
Error analysis of difficult TREC topics (XH, SB, CZ), pp. 407–408.
SIGIRSIGIR-2003-LiZO #generative #linear #topic
Topic hierarchy generation via linear discriminant projection (TL, SZ, MO), pp. 421–422.
CIKMCIKM-2002-BrantsCT #analysis #documentation #probability #segmentation #semantics #topic
Topic-based document segmentation with probabilistic latent semantic analysis (TB, FC, IT), pp. 211–218.
CIKMCIKM-2002-ChungC #collaboration #crawling #topic
Topic-oriented collaborative crawling (CC, CLAC), pp. 34–42.
ICPRICPR-v4-2002-IbrahimovSD #analysis #clustering #performance #similarity #topic
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 #topic #user interface
Collaborative crawling: mining user experiences for topical resource discovery (CCA), pp. 423–428.
KDDKDD-2002-BinghamMS #topic
Topics in 0--1 data (EB, HM, JKS), pp. 450–455.
KDDKDD-2002-YangZCJ #detection #topic
Topic-conditioned novelty detection (YY, JZ, JGC, CJ), pp. 688–693.
SIGIRSIGIR-2002-EvansSS #modelling #topic
Topic structure modeling (DAE, JGS, VS), pp. 417–418.
SIGIRSIGIR-2002-JonesG #analysis #development #topic #visualisation
A visualisation tool for topic tracking analysis and development (GJFJ, SMG), pp. 389–390.
SIGIRSIGIR-2002-Kawatani #categorisation #difference #documentation #set #topic
Topic difference factor extraction between two document sets and its application to text categorization (TK), pp. 137–144.
SIGIRSIGIR-2002-LeuskiA #evaluation #topic
Improving realism of topic tracking evaluation (AL, JA), pp. 89–96.
SIGIRSIGIR-2002-VoorheesB #empirical #fault #retrieval #set #topic
The effect of topic set size on retrieval experiment error (EMV, CB), pp. 316–323.
ITiCSEITiCSE-2001-Huizinga #identification #online #programming #topic
Identifying topics for instructional improvement through on-line tracking of programming assignments (DMH), pp. 129–132.
SIGIRSIGIR-2001-AllanGK #summary #topic
Temporal Summaries of News Topics (JA, RG, VK), pp. 10–18.
SIGIRSIGIR-2001-BleiM #markov #segmentation #topic
Topic Segmentation with an Aspect Hidden Markov Model (DMB, PJM), pp. 343–348.
SIGIRSIGIR-2001-ChakrabartiJT #topic #using
Enhanced Topic Distillation Using Text, Markup Tags, and Hyperlinks (SC, MJ, VT), pp. 208–216.
SIGIRSIGIR-2001-FranzMWZ #clustering #topic
Unsupervised and Supervised Clustering for Topic Tracking (MF, JSM, TW, WJZ), pp. 310–317.
SIGIRSIGIR-2001-LawrieCR #summary #topic #word
Finding Topic Words for Hierarchical Summarization (DL, WBC, ALR), pp. 349–357.
SIGIRSIGIR-2001-MenczerPSR #crawling #topic #web
Evaluating Topic-Driven Web Crawlers (FM, GP, PS, MER), pp. 241–249.
SIGIRSIGIR-2001-MoensB #documentation #segmentation #topic
Generic Topic Segmentation of Document Texts (MFM, RDB), pp. 418–419.
HTHT-2000-Mukherjea #topic #web
Organizing topic-specific web information (SM), pp. 133–141.
CIKMCIKM-2000-LarkeyCC #topic
Collection Selection and Results Merging with Topically Organized U.S. Patents and TREC Data (LSL, MEC, JPC), pp. 282–289.
ICMLICML-2000-MyersKSW #approach #topic
A Boosting Approach to Topic Spotting on Subdialogues (KM, MJK, SPS, MAW), pp. 655–662.
SIGIRSIGIR-2000-Davison #locality #topic #web
Topical locality in the Web (BDD0), pp. 272–279.
SIGIRSIGIR-2000-HatzivassiloglouGM #algorithm #clustering #documentation #topic
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 #topic
Influence of speech recognition errors on topic detection (JSM, MF), pp. 342–344.
SACSAC-2000-OzakuUMI #network #topic
Topic Search for Intelligent Network News Reader HISHO (HO, KU, MM, HI), pp. 28–33.
ITiCSEITiCSE-1999-Trichina #topic
Didactic instructional tool for topics in computer science (ET), pp. 95–98.
CHICHI-1999-AmentoHTHJ #empirical #evaluation #topic #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 #topic
Monitoring a Newsfeed for Hot Topics (MS, MW), pp. 402–404.
ITiCSEITiCSE-1998-King #education #evaluation #student #topic
An evaluation of strategies for teaching technical computing topics to students at different levels (poster) (CK), p. 285.
FMFM-1998-KoobUW #formal method #modelling #policy #process #security #topic #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 #topic
Improved Algorithms for Topic Distillation in a Hyperlinked Environment (KB, MRH), pp. 104–111.
CIKMCIKM-1997-Light #distributed #documentation #topic #visual notation
A Distributed, Graphical, Topic-Oriented Document Search System (JL), pp. 285–292.
CHICHI-1996-PirolliSHD #scalability #topic
Scatter/Gather Browsing Communicates the Topic Structure of a Very Large Text Collection (PP, PKS, MAH, CD), pp. 213–220.
CIKMCIKM-1995-Paradis #topic #using
Using Linguistic and Discourse Structures to Derive Topics (FP), pp. 44–49.
RTARTA-1993-DershowitzH #termination #topic
Topics in Termination (ND, CH), pp. 198–212.
TOOLSTOOLS-USA-1991-Wirfs-Brock #design #object-oriented #topic
Advanced Topics in Object-Oriented Design (RWB), pp. 429–430.
SIGIRSIGIR-1986-TruckenmullerR #analysis #design #perspective #topic
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 #topic
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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