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Message Understanding Conference
Results: 25

#	Item
1	Structured Generative Models for Unsupervised Named-Entity Clustering Micha Elsner, Eugene Charniak and Mark Johnson Brown Laboratory for Linguistic Information Processing (BLLIP) Brown University Providence, RI 02912 {m Add to Reading List Source URL: bllip.cs.brown.edu Language: English - Date: 2009-03-29 14:56:08 Linguistics Computational linguistics Language Cognitive science Semantics Natural language processing Pronouns Machine learning Information extraction Named-entity recognition Entityrelationship model Message Understanding Conference
2	Information Extraction Supported Question Answering* Rohini Srihari and Wei Li Cymfony IncMain Street Williamsville, NY 14221, U.S.A. Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2000-02-08 12:57:00 Linguistics Artificial intelligence Information retrieval Question answering Information extraction Named-entity recognition QA Message Understanding Conference Question Science Natural language processing Computational linguistics
3	Scoring Coreference Partitions of Predicted Mentions: A Reference Implementation Sameer Pradhan1 , Xiaoqiang Luo2 , Marta Recasens3 , Eduard Hovy4 , Vincent Ng5 and Michael Strube6 1 Add to Reading List Source URL: aclweb.org Language: English - Date: 2014-06-12 11:35:03 Natural language processing Semantics Message Understanding Conference Coreference Information science SemEval Automatic Content Extraction Computational linguistics Linguistics Science
4	DESCRIPTION OF THE UPENN CAMP SYSTEM AS USED FOR COREFERENCE Breck Baldwin, Tom Morton, Amit Bagga, Jason Baldridge, Raman Chandraseker, Alexis Dimitriadis, Kieran Snyder, Magdalena Wolska, Institute for Research in Cogn Add to Reading List Source URL: www.itl.nist.gov Language: English - Date: 2001-01-11 13:45:39 Thought Theoretical computer science Message Understanding Conference Coreference Precision and recall Information retrieval Information extraction Equivalence class Algorithm Statistics Science Natural language processing
5	Comparable Study of Event Extraction in Newswire and Biomedical Domains Makoto Miwa†,‡ Paul Thompson† Ioannis Korkontzelos† Sophia Ananiadou† † National Centre for Text Mining and School of Computer Science, Add to Reading List Source URL: www.nactem.ac.uk Language: English - Date: 2014-07-30 10:19:08 Linguistics Data mining Bioinformatics Information retrieval Message Understanding Conference Information extraction Named-entity recognition National Centre for Text Mining Biomedical text mining Science Computational linguistics Natural language processing
6	PDF Document Add to Reading List Source URL: www.itl.nist.gov Language: English Linguistics Natural language processing Acronyms Proteus Information extraction Entropy Mene Named-entity recognition Message Understanding Conference Cenozoic Computational linguistics Science
7	PDF Document Add to Reading List Source URL: www.itl.nist.gov Language: English Natural language processing Message Understanding Conference Information retrieval Information extraction Precision and recall Named-entity recognition Coreference F1 score Statistics Science Computational linguistics
8	Analyzing the Complexity of a Domain With Respect To An Information Extraction Task Amit Bagga Dept. of Computer Science Box 90129, Duke University Durham, N. C{0129 Add to Reading List Source URL: www.itl.nist.gov Language: English - Date: 2001-01-11 13:44:40 Cognition Science Fact Protein domain Nature Natural language processing Message Understanding Conference Information extraction
9	Towards a Computational History of the ACL: 1980–2008 Ashton Anderson Dan McFarland Dan Jurafsky Stanford University Stanford University Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2012-05-13 12:10:37 Natural language processing Topic model Message Understanding Conference Word-sense disambiguation Computational semantics N-gram Analysis Information extraction Association for Computational Linguistics Computational linguistics Science Linguistics
10	review articles Targeted IE methods are transforming into open-ended techniques. by Oren Etzioni, Michele Banko, Stephen Soderland, and Daniel S. Weld Add to Reading List Source URL: turing.cs.washington.edu Language: English - Date: 2009-03-09 17:51:55 Computational linguistics Natural language processing Information retrieval Cybernetics Information extraction Message Understanding Conference Ontology CALO Question answering Science Information science Artificial intelligence

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