Lexical semantics

Results: 716



#Item
51That’s So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve Tweets ∗ William Yang Wang and Diyi Yang Language Techn

That’s So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve Tweets ∗ William Yang Wang and Diyi Yang Language Techn

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Source URL: www.emnlp2015.org

Language: English - Date: 2015-12-05 04:39:08
52The interaction of syntactic and lexical information sources in language processing: The case of the noun-verb ambiguity1* Evelina Fedorenko1, Steven T. Piantadosi2 & Edward Gibson1 1

The interaction of syntactic and lexical information sources in language processing: The case of the noun-verb ambiguity1* Evelina Fedorenko1, Steven T. Piantadosi2 & Edward Gibson1 1

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Source URL: tedlab.mit.edu

Language: English - Date: 2012-08-09 14:58:38
53J. Lidz et al. / Cognition–Cognition–178 www.elsevier.com/locate/cognit

J. Lidz et al. / Cognition–Cognition–178 www.elsevier.com/locate/cognit

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Source URL: www.psych.upenn.edu

Language: English - Date: 2012-12-18 16:59:15
54TimeBankPT: A TimeML Annotated Corpus of Portuguese Francisco Costa, Ant´onio Branco University of Lisbon ,  Abstract In this paper, we introduce TimeBankPT, a TimeML annotate

TimeBankPT: A TimeML Annotated Corpus of Portuguese Francisco Costa, Ant´onio Branco University of Lisbon , Abstract In this paper, we introduce TimeBankPT, a TimeML annotate

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Source URL: www.di.fc.ul.pt

Language: English - Date: 2016-05-03 08:57:50
55Psychonomic Bulletin & Review 2003, 10 (3), Beyond spreading activation: An influence of relatedness proportion on masked semantic priming

Psychonomic Bulletin & Review 2003, 10 (3), Beyond spreading activation: An influence of relatedness proportion on masked semantic priming

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Source URL: web.uvic.ca

Language: English - Date: 2003-10-29 22:17:22
56Adding 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
57QTLEAP-2013-D5.1.v4.Arantxa

QTLEAP-2013-D5.1.v4.Arantxa

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Source URL: www.di.fc.ul.pt

Language: English - Date: 2016-05-03 11:47:54
58Sense Information for Disambiguation: Confluence of Supervised and Unsupervised Methods Kenneth C. Litkowski CL Research 9208 Gue Road Damascus, MD 20872

Sense Information for Disambiguation: Confluence of Supervised and Unsupervised Methods Kenneth C. Litkowski CL Research 9208 Gue Road Damascus, MD 20872

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Source URL: www.clres.com

Language: English - Date: 2002-07-05 23:58:40
59An 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
60Microsoft Word - Hengeveld&Keizer.doc

Microsoft Word - Hengeveld&Keizer.doc

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Source URL: home.hum.uva.nl

Language: English - Date: 2009-12-24 06:55:58