Leif Azzopardi, Benno Stein 0001, Norbert Fuhr, Philipp Mayr 0001, Claudia Hauff, Djoerd Hiemstra
Proceedings of the 41st European Conference on Information Retrieval Research: Advances in Information Retrieval, Part I
ECIR (1), 2019.

@proceedings{ECIR-p1-2019,
	doi           = "10.1007/978-3-030-15712-8",
	editor        = "Leif Azzopardi and Benno Stein 0001 and Norbert Fuhr and Philipp Mayr 0001 and Claudia Hauff and Djoerd Hiemstra",
	isbn          = "['978-3-030-15711-1', '978-3-030-15712-8']",
	publisher     = "{Springer}",
	series        = "{Lecture Notes in Computer Science}",
	title         = "{Proceedings of the 41st European Conference on Information Retrieval Research: Advances in Information Retrieval, Part I}",
	volume        = 11437,
	year          = 2019,
}

Contents (64 items)

ECIR-p1-2019-BalikasDMAA #learning #semantics #using

Learning Lexical-Semantic Relations Using Intuitive Cognitive Links (GB, GD, RM, HA, MRA), pp. 3–18.

ECIR-p1-2019-FardBW #network #predict

Relationship Prediction in Dynamic Heterogeneous Information Networks (AMF, EB, KW0), pp. 19–34.

ECIR-p1-2019-AgarwalRS #graph

Retrieving Relationships from a Knowledge Graph for Question Answering (PA, MR, GMS), pp. 35–50.

ECIR-p1-2019-JeawakJS #modelling #using

Embedding Geographic Locations for Modelling the Natural Environment Using Flickr Tags and Structured Data (SSJ, CBJ, SS), pp. 51–66.

ECIR-p1-2019-FisherAKM #summary

Recognising Summary Articles (MF, DA, UK, MMA), pp. 69–85.

ECIR-p1-2019-AlmquistJ #predict #towards

Towards Content Expiry Date Determination: Predicting Validity Periods of Sentences (AA, AJ), pp. 86–101.

ECIR-p1-2019-PothaS #verification

Dynamic Ensemble Selection for Author Verification (NP, ES), pp. 102–115.

ECIR-p1-2019-ZhongZ #similarity #using

Structural Similarity Search for Formulas Using Leaf-Root Paths in Operator Subtrees (WZ, RZ), pp. 116–129.

ECIR-p1-2019-LandinVPB #modelling #named #probability #recommendation

PRIN: A Probabilistic Recommender with Item Priors and Neural Models (AL, DV, JP, ÁB), pp. 133–147.

ECIR-p1-2019-Sanz-CruzadoC #information retrieval #modelling #network #recommendation #social

Information Retrieval Models for Contact Recommendation in Social Networks (JSC, PC), pp. 148–163.

ECIR-p1-2019-KhawarZ #feedback

Conformative Filtering for Implicit Feedback Data (FK, NLZ), pp. 164–178.

ECIR-p1-2019-KishimotoHASK #graph

Binarized Knowledge Graph Embeddings (KK, KH, GA, MS, KK), pp. 181–196.

ECIR-p1-2019-FlorescuJ #graph #learning #representation

A Supervised Keyphrase Extraction System Based on Graph Representation Learning (CF, WJ), pp. 197–212.

ECIR-p1-2019-WangOM #analysis #comparison #recommendation #sentiment

Comparison of Sentiment Analysis and User Ratings in Venue Recommendation (XW, IO, CM), pp. 215–228.

ECIR-p1-2019-OscheCB #multi #named #recommendation

AntRS: Recommending Lists Through a Multi-objective Ant Colony System (PEO, SC, AB), pp. 229–243.

ECIR-p1-2019-SinghSVGMC #automation #comparative #generative

Automated Early Leaderboard Generation from Comparative Tables (MS0, RS, AV, PG, AM0, SC), pp. 244–257.

ECIR-p1-2019-BahrainianZMC #information retrieval #predict #query #topic

Predicting the Topic of Your Next Query for Just-In-Time IR (SAB, FZ, IM, FC), pp. 261–275.

ECIR-p1-2019-TrienesB #community #identification

Identifying Unclear Questions in Community Question Answering Websites (JT, KB), pp. 276–289.

ECIR-p1-2019-DaltonNDA #query #topic

Local and Global Query Expansion for Hierarchical Complex Topics (JD0, SN, LD, JA), pp. 290–303.

ECIR-p1-2019-AlmasianSG #word

Word Embeddings for Entity-Annotated Texts (SA, AS, MG), pp. 307–322.

ECIR-p1-2019-PandeyWRC

Vectors of Pairwise Item Preferences (GP0, SW, ZR, YC), pp. 323–336.

ECIR-p1-2019-MackenzieMPCS #graph #recursion

Compressing Inverted Indexes with Recursive Graph Bisection: A Reproducibility Study (JM, AM, MP, JSC, TS), pp. 339–352.

ECIR-p1-2019-MalliaSS #case study #query

An Experimental Study of Index Compression and DAAT Query Processing Methods (AM, MS, TS), pp. 353–368.

ECIR-p1-2019-YangL #axiom #information retrieval #semantics

Reproducing and Generalizing Semantic Term Matching in Axiomatic Information Retrieval (PY, JL), pp. 369–381.

ECIR-p1-2019-OosterhuisR #modelling #online #optimisation #ranking

Optimizing Ranking Models in an Online Setting (HO, MdR), pp. 382–396.

ECIR-p1-2019-YuXL #feedback

Simple Techniques for Cross-Collection Relevance Feedback (RY, YX, JL), pp. 397–409.

ECIR-p1-2019-BhattacharyaHRP #algorithm #case study #comparative #summary

A Comparative Study of Summarization Algorithms Applied to Legal Case Judgments (PB, KH, SR, NP, KG, SG0), pp. 413–428.

ECIR-p1-2019-YatesU

Replicating Relevance-Ranked Synonym Discovery in a New Language and Domain (AY, MU), pp. 429–442.

ECIR-p1-2019-ManotumruksaRMO #on the #recommendation

On Cross-Domain Transfer in Venue Recommendation (JM, DR, CM, IO), pp. 443–456.

ECIR-p1-2019-BorattoFM #algorithm #bias #online #recommendation

The Effect of Algorithmic Bias on Recommender Systems for Massive Open Online Courses (LB, GF, MM), pp. 457–472.

ECIR-p1-2019-KurisinkelZV #adaptation

Domain Adaptive Neural Sentence Compression by Tree Cutting (LJK, YZ, VV), pp. 475–488.

ECIR-p1-2019-RenningsMH #approach #axiom #information retrieval #modelling

An Axiomatic Approach to Diagnosing Neural IR Models (DR, FM, CH), pp. 489–503.

ECIR-p1-2019-SalehP #information retrieval #query

Term Selection for Query Expansion in Medical Cross-Lingual Information Retrieval (SS, PP), pp. 507–522.

ECIR-p1-2019-GlavasV #bidirectional #retrieval #using

Zero-Shot Language Transfer for Cross-Lingual Sentence Retrieval Using Bidirectional Attention Model (GG, IV), pp. 523–538.

ECIR-p1-2019-VakulenkoRCR #data-driven #named

QRFA: A Data-Driven Model of Information-Seeking Dialogues (SV, KR, CDC, MdR), pp. 541–557.

ECIR-p1-2019-BiAC #feedback #retrieval #semantics

Iterative Relevance Feedback for Answer Passage Retrieval with Passage-Level Semantic Match (KB, QA, WBC), pp. 558–572.

ECIR-p1-2019-GhaderyMSFS #approach #detection #independence #named

LICD: A Language-Independent Approach for Aspect Category Detection (EG, SM, MJS, HF, AS), pp. 575–589.

ECIR-p1-2019-PfeiferL #approach #clustering #modelling #topic

Topic Grouper: An Agglomerative Clustering Approach to Topic Modeling (DP, JLL), pp. 590–603.

ECIR-p1-2019-AlbahemSSC #how #metric #question #topic

Meta-evaluation of Dynamic Search: How Do Metrics Capture Topical Relevance, Diversity and User Effort? (AA, DS, FS, LC), pp. 607–620.

ECIR-p1-2019-DijkFFK #approach #information retrieval #markov

A Markovian Approach to Evaluate Session-Based IR Systems (DvD, MF, NF0, EK), pp. 621–635.

ECIR-p1-2019-GuptaKKL #correlation #evaluation #information retrieval #metric #predict #ranking

Correlation, Prediction and Ranking of Evaluation Metrics in Information Retrieval (SG, MK, VK, ML), pp. 636–651.

ECIR-p1-2019-WicaksonoMZ #modelling

Modeling User Actions in Job Search (AFW, AM, JZ), pp. 652–664.

ECIR-p1-2019-StorkWHPVW #automation #semantics

Automated Semantic Annotation of Species Names in Handwritten Texts (LS, AW0, HJvdH, AP, FJV, KW), pp. 667–680.

ECIR-p1-2019-DavilaJSGZ #graph #image #named #using

Tangent-V: Math Formula Image Search Using Line-of-Sight Graphs (KD, RJ, SS, VG, RZ), pp. 681–695.

ECIR-p1-2019-KuziZ #research #retrieval

Figure Retrieval from Collections of Research Articles (SK, CZ), pp. 696–710.

ECIR-p1-2019-OttoHE #image #predict

“Is This an Example Image?” - Predicting the Relative Abstractness Level of Image and Text (CO, SH, RE), pp. 711–725.

ECIR-p1-2019-NguyenV #using

End-to-End Neural Relation Extraction Using Deep Biaffine Attention (DQN, KV), pp. 729–738.

ECIR-p1-2019-TianCPCSS #social

Social Relation Inference via Label Propagation (YT, HC, BP, MC, XS, SS), pp. 739–746.

ECIR-p1-2019-AlshomaryVLWSHP #reuse #wiki

Wikipedia Text Reuse: Within and Without (MA, MV, TL, HW, BS0, MH, MP), pp. 747–754.

ECIR-p1-2019-FerranteFL #crowdsourcing #probability

Stochastic Relevance for Crowdsourcing (MF, NF0, EL), pp. 755–762.

ECIR-p1-2019-KodeljaBF #detection

Exploiting a More Global Context for Event Detection Through Bootstrapping (DK, RB, OF), pp. 763–770.

ECIR-p1-2019-MalliaP #performance

Faster BlockMax WAND with Longer Skipping (AM, EP), pp. 771–778.

ECIR-p1-2019-KimY #approach #automation #hybrid #modelling

A Hybrid Modeling Approach for an Automated Lyrics-Rating System for Adolescents (JK, MYY), pp. 779–786.

ECIR-p1-2019-WangFOM #metric #similarity #topic #twitter

Evaluating Similarity Metrics for Latent Twitter Topics (XW, AF, IO, CM), pp. 787–794.

ECIR-p1-2019-DonnellyR #analysis #on the #sentiment

On Interpretability and Feature Representations: An Analysis of the Sentiment Neuron (JD, AR), pp. 795–802.

ECIR-p1-2019-ZhangJ #image #network #predict #twitter

Image Tweet Popularity Prediction with Convolutional Neural Network (YZ0, AJ), pp. 803–809.

ECIR-p1-2019-HofstatterRLEH #retrieval #word

Enriching Word Embeddings for Patent Retrieval with Global Context (SH, NR, ML, CE, AH), pp. 810–818.

ECIR-p1-2019-WangLT #comprehension

Incorporating External Knowledge to Boost Machine Comprehension Based Question Answering (HW, WL, ZT), pp. 819–827.

ECIR-p1-2019-LinjordetB #dataset #modelling

Impact of Training Dataset Size on Neural Answer Selection Models (TL, KB), pp. 828–835.

ECIR-p1-2019-KimA #detection #online

Unsupervised Explainable Controversy Detection from Online News (YK, JA), pp. 836–843.

ECIR-p1-2019-VoB #network

Extracting Temporal Event Relations Based on Event Networks (DTV, EB), pp. 844–851.

ECIR-p1-2019-SemedoM #social #social media

Dynamic-Keyword Extraction from Social Media (DS, JM), pp. 852–860.

ECIR-p1-2019-AnelliNSRT #recommendation

Local Popularity and Time in top-N Recommendation (VWA, TDN, EDS, AR, JT), pp. 861–868.

ECIR-p1-2019-MisawaMTO #generative #multi

Multiple Keyphrase Generation Model with Diversity (SM, YM, MT, TO), pp. 869–876.