Lexical similarity

Results: 152



#Item
1Axiomatizing WordNet Glosses in the OntoWordNet Project Aldo Gangemi1, Roberto Navigli2, Paola Velardi 2

Axiomatizing WordNet Glosses in the OntoWordNet Project Aldo Gangemi1, Roberto Navigli2, Paola Velardi 2

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Source URL: wwwusers.di.uniroma1.it

Language: English - Date: 2004-01-21 04:50:03
2Measuring semantic content in distributional vectors Aur´elie Herbelot EB Kognitionswissenschaft Universit¨at Potsdam Golm, Germany

Measuring semantic content in distributional vectors Aur´elie Herbelot EB Kognitionswissenschaft Universit¨at Potsdam Golm, Germany

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Source URL: www.cl.cam.ac.uk

Language: English - Date: 2013-06-18 09:18:55
3Efficient Parallel Set-Similarity Joins Using MapReduce

Efficient Parallel Set-Similarity Joins Using MapReduce

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Source URL: asterixdb.ics.uci.edu

Language: English - Date: 2013-06-06 15:43:58
4PUTOP: Turning Predominant Senses into a Topic Model for Word Sense Disambiguation Jordan Boyd-Graber Computer Science Princeton University Princeton, NJ 08540

PUTOP: Turning Predominant Senses into a Topic Model for Word Sense Disambiguation Jordan Boyd-Graber Computer Science Princeton University Princeton, NJ 08540

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Source URL: wordnet.cs.princeton.edu

Language: English - Date: 2007-05-16 20:26:21
5Lexical typology through similarity semantics: Toward a semantic map of motion verbs* 1 2 3

Lexical typology through similarity semantics: Toward a semantic map of motion verbs* 1 2 3

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Source URL: cysouw.de

Language: English - Date: 2014-01-15 15:16:28
6Microsoft PowerPoint - Arabic Lexical Semantics_presentation#2_Ver1.5.ppt

Microsoft PowerPoint - Arabic Lexical Semantics_presentation#2_Ver1.5.ppt

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Source URL: www.rdi-eg.com

Language: English - Date: 2007-07-17 03:56:43
7Adding Dense, Weighted Connections to W ORD N ET Jordan Boyd-Graber and Christiane Fellbaum and Daniel Osherson and Robert Schapire Princeton University October 9, 2005 Abstract W ORD N ET, a ubiquitous tool for natural

Adding Dense, Weighted Connections to W ORD N ET Jordan Boyd-Graber and Christiane Fellbaum and Daniel Osherson and Robert Schapire Princeton University October 9, 2005 Abstract W ORD N ET, a ubiquitous tool for natural

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Source URL: wordnet.cs.princeton.edu

Language: English - Date: 2006-11-16 11:27:38
8Lexical bias and the phonemic similarity effect in inner speech Paul Brocklehurst & Martin Corley  Dell’sinteractive model of language production predicts that if a speech-plan is n

Lexical bias and the phonemic similarity effect in inner speech Paul Brocklehurst & Martin Corley Dell’sinteractive model of language production predicts that if a speech-plan is n

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Source URL: edgwiki.wdfiles.com

Language: English - Date: 2012-09-17 05:36:28
9An Improved Model of Semantic Similarity Based on Lexical Co-Occurrence Douglas L. T. Rohde Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences Laura M. Gonnerman Lehigh University, Departme

An Improved Model of Semantic Similarity Based on Lexical Co-Occurrence Douglas L. T. Rohde Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences Laura M. Gonnerman Lehigh University, Departme

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Source URL: tedlab.mit.edu

Language: English - Date: 2012-08-07 12:32:37
10Computing Semantic Relatedness using Wikipedia-based Explicit Semantic Analysis Evgeniy Gabrilovich and Shaul Markovitch Department of Computer Science Technion—Israel Institute of Technology, 32000 Haifa, Israel {gabr

Computing Semantic Relatedness using Wikipedia-based Explicit Semantic Analysis Evgeniy Gabrilovich and Shaul Markovitch Department of Computer Science Technion—Israel Institute of Technology, 32000 Haifa, Israel {gabr

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Source URL: jsomers.net

Language: English - Date: 2010-01-03 00:51:56