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Word-sense induction
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21	Proceedings of the 11th NTCIR Conference, December 9-12, 2014, Tokyo, Japan CNU System in NTCIR-11 IMine Task Global Semantic Expansion for Hierarchical Query Intent Identification Wei Song, Wenbin Xu, Lizheng Liu, Hans Add to Reading List Source URL: research.nii.ac.jp Language: English - Date: 2014-11-26 23:45:56 Natural language processing Computational linguistics Information retrieval Semantics Lexical semantics Semantic similarity Word-sense induction Query expansion Cluster analysis Information science Science Statistics
22	Lateen EM: Unsupervised Training with Multiple Objectives, Applied to Dependency Grammar Induction Valentin I. Spitkovsky Computer Science Department Stanford University and Google Inc. Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2011-07-14 22:39:13 Estimation theory Expectation–maximization algorithm Missing data Markov models Lateen Word-sense disambiguation Natural language processing EM Part-of-speech tagging Linguistics Statistics Computational linguistics
23	Dynamic and Static Prototype Vectors for Semantic Composition Siva Reddy University of York, UK Ioannis P. Klapaftis Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2011-10-06 20:55:25 Semantics Computational linguistics Natural language processing Linear algebra Lexical semantics Word-sense disambiguation Word-sense induction Vector space model Prototype theory Algebra Linguistics Mathematics
24	Word Sense Induction Using Graphs of Collocations Ioannis P. Klapaftis and Suresh Manandhar 1 Abstract. Word Sense Induction (WSI) is the task of identifying the different senses (uses) of a target word in a given text. Add to Reading List Source URL: www-users.cs.york.ac.uk Language: English - Date: 2008-05-30 09:34:36 Lexical semantics Semantics Word-sense disambiguation Word-sense induction Collocation Graph Vertex Neighbourhood Tree Linguistics Computational linguistics Natural language processing
25	Applying a Word-sense Induction System to the Automatic Extraction of Diverse Dictionary Examples Paul Cook1, Michael Rundell2, Jey Han Lau3, and Timothy Baldwin1 1 Department of Computing and Information Systems, The Un Add to Reading List Source URL: www.euralex.org Language: English - Date: 2014-08-17 02:33:23 Natural language processing Word-sense disambiguation Lexical semantics SemEval Lexicography Word sense Word-sense induction B. T. S. Atkins Dictionary Linguistics Computational linguistics Semantics
26	OntoLearn Reloaded: A Graph-Based Algorithm for Taxonomy Induction Paola Velardi∗ Sapienza University of Rome Stefano Faralli∗ Add to Reading List Source URL: wwwusers.di.uniroma1.it Language: English - Date: 2013-08-09 01:30:33 Natural language processing Lexical semantics Artificial intelligence Computational linguistics Technical communication WordNet Hyponymy Word-sense disambiguation Ontology Linguistics Science Knowledge representation
27	arXiv:1411.4116v1 [cs.CL] 15 NovInvestigating the Role of Prior Disambiguation in Deep-learning Compositional Models of Meaning Jianpeng Cheng Add to Reading List Source URL: arxiv.org Language: English Natural language processing Semantics Lexical semantics Speech recognition Word-sense disambiguation Word-sense induction Vector space model Cognitive science Euclidean vector Linguistics Computational linguistics Science
28	SemEval-2013 Task 13: Word Sense Induction for Graded and Non-Graded Senses David Jurgens Dipartimento di Informatica Sapienza Universit`a di Roma Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2013-05-26 11:36:03 Science Natural language processing Lexical semantics Word-sense disambiguation Lexical substitution SemEval WordNet Word-sense induction Word sense Linguistics Computational linguistics Semantics
29	HERMIT: Flexible Clustering for the SemEval-2 WSI Task David Jurgens University of California, Los Angeles Los Angeles, California, USA Add to Reading List Source URL: anthology.aclweb.org Language: English - Date: 2010-07-05 10:43:12 Science Semantics Lexical semantics Word-sense disambiguation Word-sense induction Cluster analysis SemEval Latent semantic analysis Word sense Linguistics Computational linguistics Natural language processing
30	The S-Space Package: An Open Source Package for Word Space Models David Jurgens University of California, Los Angeles, 4732 Boelter Hall Los Angeles, CA 90095 Add to Reading List Source URL: anthology.aclweb.org Language: English - Date: 2010-07-05 10:42:37 Natural language processing Linguistics Information retrieval Semantics Latent semantic analysis Semantic similarity Vector space model Word-sense induction Stemming Science Information science Computational linguistics