Difference between revisions of "RTE Knowledge Resources"

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| Output of the DIRT algorithm over a 1GB set of newspaper text
 
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Revision as of 07:47, 6 April 2009

RTE Knowledge Resources


Resource Type Author Brief description # Users
WordNet Lexical Princeton University Lexical database of English nouns, verbs, adjectives and adverbs 23 Users
Verbnet Lexical University of Colorado Boulder On-line lexicon for English verbs organized into classes 3 Users
VerbOcean Lexical University of Southern California Broad-coverage semantic network of verbs 5 Users
FrameNet Lexical Berkeley FrameNet project On-line lexical resource for English words, based on frame semantics (valences) and supported by corpus evidence 2 Users
NomBank Resources Lexical New York University Lexical Resources containing syntactic frames for nouns, extracted from annotated corpora 2 Users
Nomlex Plus Lexical Proteus Project - New York University Dictionary of English nominalizations: it describes the allowed complements for a nominalization and relates the nominal complements to the arguments of the corresponding verb 1 Users
Parc Polarity Lexicon Lexical PARC - Palo Alto Research Center Verbs classification with respect to semantic polarity 1 Users
DIRT Paraphrase Collection Collection of paraphrases (DIRT output) University of Alberta Output of the DIRT algorithm over a 1GB set of newspaper text Users