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SemEval
Results: 260

#	Item
141	Measuring the Impact of Sense Similarity on Word Sense Induction David Jurgens1,2 HRL Laboratories, LLC Malibu, California, USA Add to Reading List Source URL: anthology.aclweb.org Language: English - Date: 2011-07-15 13:46:48 Science Statistics Natural language processing Lexical semantics Word-sense disambiguation Word-sense induction Semantic similarity Cluster analysis SemEval Linguistics Computational linguistics Semantics
142	An Evaluation of Graded Sense Disambiguation using Word Sense Induction David Jurgens1,2 1 HRL Laboratories, LLC Malibu, California, USA 2 Add to Reading List Source URL: anthology.aclweb.org Language: English - Date: 2012-05-27 07:24:53 Semantics Natural language processing Lexical semantics Word-sense disambiguation SemEval Word-sense induction Lexical substitution Word sense WordNet Linguistics Computational linguistics Science
143	Word Sense Induction by Community Detection 1 David Jurgens1,2 HRL Laboratories, LLC 2 Department of Computer Science Add to Reading List Source URL: anthology.aclweb.org Language: English - Date: 2011-06-11 14:08:26 Semantics Science Lexical semantics Word-sense disambiguation Word-sense induction SemEval Graph Community structure Clique Linguistics Computational linguistics Natural language processing
144	Azmat: Sentence Similarity using Associative Matrices Evan Jaffe Lifeng Jin David King Add to Reading List Source URL: www.ling.ohio-state.edu Language: English - Date: 2015-04-14 18:03:33 Natural language processing Semantics Semantic analysis SemEval Parse tree Latent semantic analysis Association for Computational Linguistics Encoding Semantic similarity Computational linguistics Linguistics Science
145	Extracting Lexically Divergent Paraphrases from Twitter Wei Xu1 , Alan Ritter2 , Chris Callison-Burch1 , William B. Dolan3 and Yangfeng Ji4 1 University of Pennsylvania, Philadelphia, PA, USA {xwe, ccb}@cis.upenn.edu 2 Add to Reading List Source URL: www.transacl.org Language: English - Date: 2014-10-20 15:27:27 Natural language processing Logic Automatic summarization International Corpus of English N-gram Semantic similarity SemEval Twitter Entailment Linguistics Computational linguistics Science
146	Improved Default Sense Selection for Word Sense Disambiguation Tobias HAWKER and Matthew HONNIBAL Language Technology Research Group School of Information Technologies University of Sydney {toby,mhonn}@it.usyd.edu.au Add to Reading List Source URL: www.alta.asn.au Language: English - Date: 2006-11-21 07:43:12 Science Natural language processing Lexical semantics Word-sense disambiguation WordNet SemEval Semantic similarity Word sense Hyponymy Linguistics Computational linguistics Semantics
147	Investigating Features for Classifying Noun Relations Dominick Ng, David J. Kedziora, Terry T. W. Miu and James R. Curran School of Information Technologies University of Sydney NSW 2006 Australia {dong7223,dked9370,tmiu Add to Reading List Source URL: www.alta.asn.au Language: English - Date: 2008-10-31 17:51:38 Science Natural language processing Lexical semantics Knowledge representation Word-sense disambiguation SemEval WordNet Hyponymy Lexical database Linguistics Computational linguistics Semantics
148	Paving the Way to a Large-scale Pseudosense-annotated Dataset Mohammad Taher Pilehvar and Roberto Navigli Department of Computer Science Sapienza University of Rome {pilehvar,navigli}@di.uniroma1.it Add to Reading List Source URL: wwwusers.di.uniroma1.it Language: English - Date: 2013-06-21 06:15:30 Semantics Lexical semantics Natural language processing Word-sense disambiguation WordNet SemEval Semantic similarity Word-sense induction Word sense Linguistics Computational linguistics Science
149	WoSIT: A Word Sense Induction Toolkit for Search Result Clustering and Diversiﬁcation http://lcl.uniroma1.it/wosit Daniele Vannella, Tiziano Flati and Roberto Navigli Add to Reading List Source URL: wwwusers.di.uniroma1.it Language: English - Date: 2014-10-16 13:37:05 Semantics Science Lexical semantics Word-sense disambiguation Word-sense induction Cluster analysis Algorithm SemEval Linguistics Computational linguistics Natural language processing
150	Performance Metrics for Word Sense Disambiguation Trevor Cohn Department of Computer Science and Software Engineering University of Melbourne, VIC 3010, Australia email: [removed] fax: +[removed] Add to Reading List Source URL: www.alta.asn.au Language: English - Date: 2004-03-04 19:05:17 Natural language processing Semantics Statistical classification Machine learning Word-sense disambiguation SemEval Receiver operating characteristic Gain Binary classification Statistics Science Computational linguistics

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