Implicit entity networks: a versatile document model
暂无分享,去创建一个
[1] Valentin I. Spitkovsky,et al. A comparison of Named-Entity Disambiguation and Word Sense Disambiguation , 2016, LREC.
[2] Hui Li. Social Network Extraction and Exploration of Historic Correspondences , 2015, Bull. IEEE Tech. Comm. Digit. Libr..
[3] James Allan,et al. On-Line New Event Detection and Tracking , 1998, SIGIR Forum.
[4] Klaus Berberich,et al. Linking Wikipedia Events to Past News , 2014, SIGIR 2014.
[5] Satoshi Sekine,et al. A survey of named entity recognition and classification , 2007 .
[6] Steven Schockaert,et al. Jointly Learning Word Embeddings and Latent Topics , 2017, SIGIR.
[7] Nattiya Kanhabua,et al. Identifying Relevant Temporal Expressions for Real-World Events , 2012 .
[8] Ujwal Gadiraju,et al. Where the Event Lies: Predicting Event Occurrence in Textual Documents , 2016, SIGIR.
[9] Hans-Peter Kriegel,et al. SigniTrend: scalable detection of emerging topics in textual streams by hashed significance thresholds , 2014, KDD.
[10] W. Marsden. I and J , 2012 .
[11] Benno Stein,et al. Towards Vandalism Detection in Knowledge Bases: Corpus Construction and Analysis , 2015, SIGIR.
[12] John Sinclair,et al. Corpus, Concordance, Collocation , 1991 .
[13] Andrey Kutuzov,et al. Cross-Lingual Trends Detection for Named Entities in News Texts with Dynamic Neural Embedding Models , 2016, NewsIR@ECIR.
[14] Marie-Francine Moens,et al. A survey on question answering technology from an information retrieval perspective , 2011, Inf. Sci..
[15] Yiming Yang,et al. Topic-conditioned novelty detection , 2002, KDD.
[16] Ramon Ferrer i Cancho,et al. The small world of human language , 2001, Proceedings of the Royal Society of London. Series B: Biological Sciences.
[17] Michael Gertz,et al. Multilingual and cross-domain temporal tagging , 2012, Language Resources and Evaluation.
[18] Elena Lloret,et al. Application of Text Summarization techniques to the Geographical Information Retrieval task , 2013, Expert Syst. Appl..
[19] Rishiraj Saha Roy,et al. Discovering and understanding word level user intent in Web search queries , 2015, J. Web Semant..
[20] Ralph Grishman,et al. Message Understanding Conference- 6: A Brief History , 1996, COLING.
[21] Johanna Geiß,et al. Refining imprecise spatio-temporal events: a network-based approach , 2016, GIR.
[22] Jens Lehmann,et al. DBpedia: A Nucleus for a Web of Open Data , 2007, ISWC/ASWC.
[23] Umeshwar Dayal,et al. Ranking explanatory sentences for opinion summarization , 2013, SIGIR.
[24] Claude Berge,et al. Hypergraphs - combinatorics of finite sets , 1989, North-Holland mathematical library.
[25] Andreas Spitz,et al. Assessing Low-Intensity Relationships in Complex Networks , 2016, PloS one.
[26] Sebastian Rudolph,et al. Foundations of Semantic Web Technologies , 2009 .
[27] Brian D. Davison,et al. Tracking trends: incorporating term volume into temporal topic models , 2011, KDD.
[28] Furu Wei,et al. HyperSum: hypergraph based semi-supervised sentence ranking for query-oriented summarization , 2009, CIKM.
[29] Julia Hirschberg,et al. An Unsupervised Approach to Biography Production Using Wikipedia , 2008, ACL.
[30] Johanna Geiß,et al. With a Little Help from my Neighbors: Person Name Linking Using the Wikipedia Social Network , 2016, WWW.
[31] Chun Chen,et al. Using rich social media information for music recommendation via hypergraph model , 2011, TOMCCAP.
[32] Nick Craswell,et al. Query Expansion with Locally-Trained Word Embeddings , 2016, ACL.
[33] Kurt Hornik,et al. topicmodels : An R Package for Fitting Topic Models , 2016 .
[34] Yoav Goldberg,et al. A Primer on Neural Network Models for Natural Language Processing , 2015, J. Artif. Intell. Res..
[35] Thorsten Joachims,et al. Evaluation methods for unsupervised word embeddings , 2015, EMNLP.
[36] Abdalghani Abujabal,et al. Important Events in the Past, Present, and Future , 2015, WWW.
[37] Daniel M. Dunlavy,et al. Advantages to modeling relational data using hypergraphs versus graphs , 2016, 2016 IEEE High Performance Extreme Computing Conference (HPEC).
[38] Lada A. Adamic,et al. Lost in Propagation? Unfolding News Cycles from the Source , 2021, ICWSM.
[39] Gerhard Weikum,et al. A Fresh Look on Knowledge Bases: Distilling Named Events from News , 2014, CIKM.
[40] J. Firth,et al. Papers in linguistics, 1934-1951 , 1957 .
[41] Gerhard Weikum,et al. From information to knowledge: harvesting entities and relationships from web sources , 2010, PODS '10.
[42] Karen Spärck Jones. A statistical interpretation of term specificity and its application in retrieval , 2021, J. Documentation.
[43] Dragomir R. Radev,et al. LexRank: Graph-based Lexical Centrality as Salience in Text Summarization , 2004, J. Artif. Intell. Res..
[44] Andreas Spitz,et al. TopExNet: Entity-Centric Network Topic Exploration in News Streams , 2019, WSDM.
[45] Chin-Yew Lin,et al. ROUGE: A Package for Automatic Evaluation of Summaries , 2004, ACL 2004.
[46] Gilles Falquet,et al. Semantic enrichment of places with VGI sources: a knowledge based approach , 2016, GIR.
[47] Yuan Ni,et al. Semantic Documents Relatedness using Concept Graph Representation , 2016, WSDM.
[48] Gaurav Khandelwal,et al. MESH: A Flexible Distributed Hypergraph Processing System , 2019, 2019 IEEE International Conference on Cloud Engineering (IC2E).
[49] Kavita Ganesan,et al. ROUGE 2.0: Updated and Improved Measures for Evaluation of Summarization Tasks , 2015, ArXiv.
[50] Oren Etzioni,et al. Open Information Extraction from the Web , 2007, CACM.
[51] Abdelghani Bellaachia,et al. HG-Rank: A Hypergraph-based Keyphrase Extraction for Short Documents in Dynamic Genre , 2014, #MSM.
[52] Stefan Th. Gries,et al. 50-something years of work on collocations: What is or should be next … , 2013 .
[53] Gerhard Weikum,et al. Timely YAGO: harvesting, querying, and visualizing temporal knowledge from Wikipedia , 2010, EDBT '10.
[54] W. Bruce Croft,et al. Modeling higher-order term dependencies in information retrieval using query hypergraphs , 2012, SIGIR '12.
[55] George A. Miller,et al. WordNet: A Lexical Database for English , 1995, HLT.
[56] Yizhou Sun,et al. Mining heterogeneous information networks: a structural analysis approach , 2013, SKDD.
[57] Omar Alonso,et al. Timelines as summaries of popular scheduled events , 2013, WWW.
[58] Andreas Spitz,et al. Extracting Descriptions of Location Relations from Implicit Textual Networks , 2017, GIR.
[59] Christoph Boden,et al. Extracting a Repository of Events and Event References from News Clusters , 2014 .
[60] Andreas Spitz,et al. Exploring Significant Interactions in Live News , 2018, NewsIR@ECIR.
[61] Miles Osborne,et al. Streaming First Story Detection with application to Twitter , 2010, NAACL.
[62] Fredric C. Gey,et al. NTCIR9-GeoTime Overview - Evaluating Geographic and Temporal Search: Round 2 , 2011, NTCIR.
[63] Andreas Spitz,et al. EVELIN: Exploration of Event and Entity Links in Implicit Networks , 2017, WWW.
[64] Hannah Bast,et al. Semantic full-text search with broccoli , 2014, SIGIR.
[65] M-Dyaa Albakour,et al. On the Long-Tail Entities in News , 2017, ECIR.
[66] Paul Buitelaar,et al. Who are the American Vegans related to Brad Pitt?: Exploring Related Entities , 2015, WWW.
[67] James Allan,et al. Topic detection and tracking: event-based information organization , 2002 .
[68] Philip Resnik,et al. A Discriminative Topic Model using Document Network Structure , 2016, ACL.
[69] Achim Rettinger,et al. XKnowSearch!: Exploiting Knowledge Bases for Entity-based Cross-lingual Information Retrieval , 2016, CIKM.
[70] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[71] Heng Ji,et al. CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases , 2016, WWW.
[72] E. F. CODD,et al. A relational model of data for large shared data banks , 1970, CACM.
[73] Rada Mihalcea,et al. TextRank: Bringing Order into Text , 2004, EMNLP.
[74] Martin H. Levinson. Linked: The New Science of Networks , 2004 .
[75] Gao Cong,et al. Topic Exploration in Spatio-Temporal Document Collections , 2016, SIGMOD Conference.
[76] Markus Krötzsch,et al. Wikidata , 2014, Commun. ACM.
[77] Xianpei Han,et al. An Entity-Topic Model for Entity Linking , 2012, EMNLP.
[78] Elena Lloret,et al. Text summarisation in progress: a literature review , 2011, Artificial Intelligence Review.
[79] Mark A. Przybocki,et al. The Automatic Content Extraction (ACE) Program – Tasks, Data, and Evaluation , 2004, LREC.
[80] David Robinson,et al. tidytext: Text Mining and Analysis Using Tidy Data Principles in R , 2016, J. Open Source Softw..
[81] George A. Miller,et al. Introduction to WordNet: An On-line Lexical Database , 1990 .
[82] James P. Callan,et al. Document filtering with inference networks , 1996, SIGIR '96.
[83] David M. W. Powers,et al. Applications and Explanations of Zipf’s Law , 1998, CoNLL.
[84] Hugo Zaragoza,et al. The Probabilistic Relevance Framework: BM25 and Beyond , 2009, Found. Trends Inf. Retr..
[85] Fabian M. Suchanek,et al. YAGO3: A Knowledge Base from Multilingual Wikipedias , 2015, CIDR.
[86] Deng Cai,et al. Heterogeneous hypergraph embedding for document recommendation , 2016, Neurocomputing.
[87] Animesh Mukherjee,et al. Global topology of word co-occurrence networks: Beyond the two-regime power-law , 2010, COLING.
[88] Chi K. Tse,et al. Comparison of co-occurrence networks of the Chinese and English languages , 2009 .
[89] Michael Strube,et al. Lexical Coherence Graph Modeling Using Word Embeddings , 2016, NAACL.
[90] T. Landauer,et al. Indexing by Latent Semantic Analysis , 1990 .
[91] Mark Newman,et al. Networks: An Introduction , 2010 .
[92] Tong Zhang,et al. Fundamentals of Predictive Text Mining , 2010, Texts in Computer Science.
[93] Klaus Berberich,et al. EXPOSÉ: EXploring Past news fOr Seminal Events , 2015, WWW.
[94] Gerhard Weikum,et al. Cross-Document Co-Reference Resolution using Sample-Based Clustering with Knowledge Enrichment , 2015, TACL.
[95] Omer Levy,et al. Dependency-Based Word Embeddings , 2014, ACL.
[96] Abhishek Chandra,et al. Beyond graphs: toward scalable hypergraph analysis systems , 2014, PERV.
[97] Hanan Samet,et al. NewsStand: a new view on news , 2008, GIS '08.
[98] Iryna Gurevych,et al. Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept Maps , 2017, EMNLP.
[99] Ricardo Campos,et al. Survey of Temporal Information Retrieval and Related Applications , 2014, ACM Comput. Surv..
[100] Graeme Hirst,et al. Anaphora in Natural Language Understanding: A Survey , 1981, Lecture Notes in Computer Science.
[101] Christina Lioma,et al. Graph-based term weighting for information retrieval , 2011, Information Retrieval.
[102] J. A. Rodríguez-Velázquez,et al. Subgraph centrality and clustering in complex hyper-networks , 2006 .
[103] Abdelghani Bellaachia,et al. Multi-document Hyperedge-based Ranking for Text Summarization , 2014, CIKM.
[104] Mihai Surdeanu,et al. The Stanford CoreNLP Natural Language Processing Toolkit , 2014, ACL.
[105] David M. Blei,et al. Probabilistic topic models , 2012, Commun. ACM.
[106] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[107] Gerhard Weikum,et al. Extraction of temporal facts and events from Wikipedia , 2012, TempWeb '12.
[108] Mor Naaman,et al. Towards automatic extraction of event and place semantics from flickr tags , 2007, SIGIR.
[109] Danqi Chen,et al. Reasoning With Neural Tensor Networks for Knowledge Base Completion , 2013, NIPS.
[110] David Yarowsky,et al. One Sense Per Discourse , 1992, HLT.
[111] Andreas Spitz,et al. Terms in Time and Times in Context: A Graph-based Term-Time Ranking Model , 2015, WWW.
[112] Jaideep Srivastava,et al. Weighted node degree centrality for hypergraphs , 2013, 2013 IEEE 2nd Network Science Workshop (NSW).
[113] Cong Yu,et al. Dynamic relationship and event discovery , 2011, WSDM '11.
[114] Matt Gardner. The Topic Browser An Interactive Tool for Browsing Topic Models , 2010 .
[115] Dan Klein,et al. Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network , 2003, NAACL.
[116] Ani Nenkova,et al. A Survey of Text Summarization Techniques , 2012, Mining Text Data.
[117] Johanna Geiß,et al. The Wikipedia location network: overcoming borders and oceans , 2015, GIR.
[118] Johanna Geiß,et al. Beyond friendships and followers: The Wikipedia social network , 2015, 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).
[119] Klaus Berberich,et al. Identifying Time Intervals of Interest to Queries , 2014, CIKM.
[120] Gerhard Weikum,et al. AESTHETICS: Analytics with Strings, Things, and Cats , 2014, CIKM.
[121] Qiaozhu Mei,et al. PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks , 2015, KDD.
[122] Roberto Navigli,et al. Word sense disambiguation: A survey , 2009, CSUR.
[123] Philip S. Yu,et al. A Survey of Heterogeneous Information Network Analysis , 2015, IEEE Transactions on Knowledge and Data Engineering.
[124] Srikanta J. Bedathur,et al. Towards Generating Text Summaries for Entity Chains , 2014, ECIR.
[125] Andreas Spitz,et al. Terms over LOAD: Leveraging Named Entities for Cross-Document Extraction and Summarization of Events , 2016, SIGIR.
[126] Tony McEnery,et al. Collocations in context:a new perspective on collocation networks , 2015 .
[127] Gerhard Weikum,et al. CATE: context-aware timeline for entity illustration , 2011, WWW.
[128] Gerhard Weikum,et al. See what's enBlogue: real-time emergent topic identification in social media , 2012, EDBT '12.
[129] Wei Chen,et al. A Synergistic Framework for Geographic Question Answering , 2013, 2013 IEEE Seventh International Conference on Semantic Computing.
[130] Saul A. Kripke,et al. Naming and Necessity , 1980 .
[131] Jeffrey Heer,et al. D³ Data-Driven Documents , 2011, IEEE Transactions on Visualization and Computer Graphics.
[132] Stefan Evert,et al. The Statistics of Word Cooccur-rences: Word Pairs and Collocations , 2004 .
[133] Craig MacDonald,et al. Enhancing First Story Detection using Word Embeddings , 2016, SIGIR.
[134] Gerhard Weikum,et al. Knowledge harvesting in the big-data era , 2013, SIGMOD '13.
[135] Alexander J. Smola,et al. Unified analysis of streaming news , 2011, WWW.
[136] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[137] Klaus Berberich,et al. Event Digest: A Holistic View on Past Events , 2016, SIGIR.
[138] Gerhard Weikum,et al. YAGO2: exploring and querying world knowledge in time, space, context, and many languages , 2011, WWW.
[139] Claude Berge,et al. Graphs and Hypergraphs , 2021, Clustering.
[140] Steven Skiena,et al. Lydia: A System for Large-Scale News Analysis , 2005, SPIRE.
[141] Wei Liang,et al. Spectra of English evolving word co-occurrence networks , 2017 .
[142] Gerhard Weikum,et al. InZeit: Efficiently Identifying Insightful Time Points , 2010, Proc. VLDB Endow..
[143] Evgeny Kharlamov,et al. SemFacet: semantic faceted search over yago , 2014, WWW.
[144] P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .
[145] David Yarowsky,et al. One Sense per Collocation , 1993, HLT.
[146] 悠太 菊池,et al. 大規模要約資源としてのNew York Times Annotated Corpus , 2015 .
[147] Katharina Anna Zweig. Are Word-Adjacency Networks Networks? , 2016 .
[148] Hans-Peter Kriegel,et al. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.
[149] Wolfgang Nejdl,et al. On the Value of Temporal Anchor Texts in Wikipedia , 2014 .
[150] Julie Beth Lovins,et al. Development of a stemming algorithm , 1968, Mech. Transl. Comput. Linguistics.
[151] Johanna Geiß,et al. So far away and yet so close: augmenting toponym disambiguation and similarity with text-based networks , 2016, GeoRich@SIGMOD.
[152] Wolfgang Nejdl,et al. Extracting Event-Related Information from Article Updates in Wikipedia , 2013, ECIR.
[153] Jeffrey Xu Yu,et al. Scalable Hypergraph Learning and Processing , 2015, 2015 IEEE International Conference on Data Mining.
[154] Gerhard Weikum,et al. STICS: searching with strings, things, and cats , 2014, SIGIR.
[155] Roi Blanco,et al. Finding support sentences for entities , 2010, SIGIR.
[156] Mohammed Al-Dhelaan. StarSum: A Simple Star Graph for Multi-document Summarization , 2015, SIGIR.
[157] Van Rijsbergen,et al. A theoretical basis for the use of co-occurence data in information retrieval , 1977 .
[158] Yiming Yang,et al. A study of retrospective and on-line event detection , 1998, SIGIR '98.
[159] Chong Wang,et al. Reading Tea Leaves: How Humans Interpret Topic Models , 2009, NIPS.
[160] Yoshua Bengio,et al. Word Representations: A Simple and General Method for Semi-Supervised Learning , 2010, ACL.
[161] James Pustejovsky,et al. TimeML: Robust Specification of Event and Temporal Expressions in Text , 2003, New Directions in Question Answering.
[162] Mandar Mitra,et al. Word Embedding based Generalized Language Model for Information Retrieval , 2015, SIGIR.
[163] ChengXiang Zhai,et al. Text Data Management and Analysis: A Practical Introduction to Information Retrieval and Text Mining , 2016 .
[164] Mitul Tiwari,et al. Entity Extraction, Linking, Classification, and Tagging for Social Media: A Wikipedia-Based Approach , 2013, Proc. VLDB Endow..
[165] Tsuyoshi Murata,et al. {m , 1934, ACML.
[166] Padhraic Smyth,et al. Statistical entity-topic models , 2006, KDD '06.
[167] Hinrich Schütze,et al. Introduction to information retrieval , 2008 .
[168] Gerhard Weikum,et al. Robust Disambiguation of Named Entities in Text , 2011, EMNLP.
[169] Fabian M. Suchanek,et al. Mining history with Le Monde , 2013, AKBC '13.
[170] James Allan,et al. Finding and linking incidents in news , 2007, CIKM '07.
[171] Adam Jatowt,et al. Estimating document focus time , 2013, CIKM.
[172] Praveen Paritosh,et al. Freebase: a collaboratively created graph database for structuring human knowledge , 2008, SIGMOD Conference.
[173] Marko Grobelnik,et al. Event registry: learning about world events from news , 2014, WWW.
[174] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[175] Yoshua Bengio,et al. A Neural Probabilistic Language Model , 2003, J. Mach. Learn. Res..
[176] Paul Baker,et al. The shapes of collocation , 2016 .
[177] Wolfgang Nejdl,et al. Expedition: A Time-Aware Exploratory Search System Designed for Scholars , 2016, SIGIR.
[178] Ramesh Nallapati,et al. Event threading within news topics , 2004, CIKM '04.
[179] Tao Tao,et al. An exploration of proximity measures in information retrieval , 2007, SIGIR.
[180] Mark Gahegan,et al. Frankenplace: Interactive Thematic Mapping for Ad Hoc Exploratory Search , 2015, WWW.
[181] Andreas Spitz,et al. Word Embeddings for Entity-annotated Texts , 2019, ECIR.
[182] Fredric C. Gey,et al. GeoCLEF: the CLEF 2005 Cross-Language Geographic Information Retrieval Track , 2005, CLEF.
[183] Michael Granitzer,et al. Robust and Collective Entity Disambiguation through Semantic Embeddings , 2016, SIGIR.
[184] Klaus Berberich,et al. DIGITALHISTORIAN: Search & Analytics Using Annotations , 2016, HistoInformatics@DH.
[185] Johanna Geiß,et al. State of the Union: A Data Consumer's Perspective on Wikidata and Its Properties for the Classification and Resolution of Entities , 2021, Wiki@ICWSM.
[186] Simon Gottschalk,et al. EventKG: A Multilingual Event-Centric Temporal Knowledge Graph , 2018, ESWC.
[187] Andreas Spitz,et al. Entity-Centric Topic Extraction and Exploration: A Network-Based Approach , 2018, ECIR.
[188] Yuan Zuo,et al. Word network topic model: a simple but general solution for short and imbalanced texts , 2014, Knowledge and Information Systems.
[189] Hannu Toivonen,et al. Document summarization based on word associations , 2014, SIGIR.
[190] Christopher D. Manning,et al. Advances in natural language processing , 2015, Science.
[191] Goran Nenadic,et al. Mining temporal footprints from Wikipedia , 2014, COLING 2014.
[192] Michalis Vazirgiannis,et al. Graph-of-word and TW-IDF: new approach to ad hoc IR , 2013, CIKM.
[193] Fredric C. Gey,et al. NTCIR-GeoTime Overview: Evaluating Geographic and Temporal Search , 2010, NTCIR.
[194] Christopher D. Manning,et al. Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling , 2005, ACL.
[195] Andreas Spitz,et al. Exploring Entity-centric Networks in Entangled News Streams , 2018, WWW.
[196] Gerhard Weikum,et al. Finding images of difficult entities in the long tail , 2011, CIKM '11.
[197] Claudia Niederée,et al. Time-travel Translator: Automatically Contextualizing News Articles , 2015, WWW.
[198] Leif Azzopardi,et al. InfoScout: An Interactive, Entity Centric, Person Search Tool , 2016, SIGIR.
[199] Klaus Berberich,et al. EventMiner: Mining Events from Annotated Documents , 2016, ICTIR.
[200] Andreas Spitz,et al. Breaking the news: Extracting the sparse citation network backbone of online news articles , 2015, 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).
[201] Michael Gertz,et al. Temporal Tagging on Different Domains: Challenges, Strategies, and Gold Standards , 2012, LREC.