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Message Understanding Conference
Results: 25

#	Item
11	A Multi-Pass Sieve for Coreference Resolution Karthik Raghunathan, Heeyoung Lee, Sudarshan Rangarajan, Nathanael Chambers, Mihai Surdeanu, Dan Jurafsky, Christopher Manning Computer Science Department Stanford Universit Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2010-08-30 14:48:37 Natural language processing Semantics Coreference Machine learning Knowledge representation Information extraction Message Understanding Conference Anaphora Antecedent Statistics Science Linguistics
12	Procesamiento del Lenguaje Natural, Revista nº 42, marzo de 2009, pp[removed]recibido[removed], aceptado[removed]Global joint models for coreference resolution and named entity classification Add to Reading List Source URL: www.sepln.org Language: English - Date: 2011-08-16 11:05:57 Computational linguistics Statistical natural language processing Message Understanding Conference Coreference Semantics Pragmatics OpenNLP Anaphora Information retrieval Science Linguistics Natural language processing
13	¨t Ruprecht-Karls-Universita Heidelberg ¨t Neuphilologische Fakulta Add to Reading List Source URL: www.cl.uni-heidelberg.de Language: English - Date: 2010-09-14 04:42:29 Information science Named-entity recognition Information extraction Message Understanding Conference Natural language processing Automatic Content Extraction Temporal expressions Entity-relationship model Categorization Computational linguistics Science Linguistics
14	Event Schema Induction with a Probabilistic Entity-Driven Model Nathanael Chambers United States Naval Academy Annapolis, MD[removed]removed] Add to Reading List Source URL: aclweb.org Language: English - Date: 2013-10-09 22:17:10 Data modeling Linguistics Psychological theories Cognitive science Message Understanding Conference Information extraction Database schema Schema Named-entity recognition Computational linguistics Science Computing
15	In Proceedings of the 26th Conference on Artificial Intelligence (AAAI-12) Modeling Textual Cohesion for Event Extraction Ruihong Huang and Ellen Riloff School of Computing University of Utah Add to Reading List Source URL: www.cs.utah.edu Language: English - Date: 2012-05-15 18:15:45 Natural language processing Semantics Speech recognition Information extraction Message Understanding Conference Filler Sentence Focus Subject Linguistics Grammar Computational linguistics
16	Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing (EMNLP-02), pp[removed]Philadelphia, PA, July, 2002 Combining Sample Selection and Error-Driven Pruning for Machine Learning of Coref Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2004-07-16 12:17:06 Natural language processing Computational linguistics Artificial intelligence Information extraction Coreference Statistical classification Message Understanding Conference Pruning Cluster analysis Statistics Complexity classes Machine learning
17	Improving Machine Learning Approaches to Coreference Resolution Vincent Ng and Claire Cardie Department of Computer Science Cornell University Ithaca, NY[removed]yung,cardie @cs.cornell.edu Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2004-07-13 10:00:29 Coreference Pragmatics Semantics Grammar Antecedent Message Understanding Conference Anaphora Syntax NP Linguistics Philosophy of language Semiotics
18	Using Explicit Semantic Models to Track Situations across News Articles Earl Wagner, Jiahui Liu, Larry Birnbaum, Ken Forbus, James Baker Northwestern University Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2010-07-12 11:06:39 MySQL Linguistics Software Message Understanding Conference Syntax
19	Identifying Anaphoric and Non-Anaphoric Noun Phrases to Improve Coreference Resolution Vincent Ng and Claire Cardie Department of Computer Science Cornell University Ithaca, NY[removed] Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2004-07-13 10:00:36 Pragmatics Computational linguistics Coreference Message Understanding Conference Anaphora Net Project Journal Antecedent Noun Named-entity recognition Linguistics Syntax Semantics
20	Conundrums in Noun Phrase Coreference Resolution: Making Sense of the State-of-the-Art Veselin Stoyanov Cornell University Ithaca, NY Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2009-07-16 12:00:53 Natural language processing Semantics Computational linguistics Pragmatics Artificial intelligence Information extraction Message Understanding Conference Coreference Anaphora Linguistics Science Software

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