Difference between revisions of "RTE Knowledge Resources"
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| Encyclopedia | | Encyclopedia | ||
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− | | Free encyclopedia. Used for extraction of lexical-semantic rules (from its more structured parts), named entity recognition, | + | | Free encyclopedia. Used for extraction of lexical-semantic rules (from its more structured parts), named entity recognition, geographical information ecc. |
| style="text-align: center;"| | | style="text-align: center;"| | ||
| [[RTE Users|Users]] | | [[RTE Users|Users]] |
Revision as of 08:51, 7 April 2009
The table below lists the knowledge resources used by participants in the last RTE challenges. Other important RTE resources have been added in the list in order to encourage people to add information about potential usage.
Resource | Type | Author | Brief description | # Users* | Usage info |
---|---|---|---|---|---|
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 | ICSI (International Computer Science Institute) - Berkley University | 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 | 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 | Collections of paraphrases (DIRT output) | Various | Output of the DIRT algorithm | 4 | Users |
PropBank Resources | Lexical | University of Colorado Boulder | Lexical Resources containing syntactic frames for verbs, extracted from annotated corpora | 2 | Users |
TEASE Collection | Syntactic-semantic | Bar Ilan University | Collection of Entailment Rules | 0 | Users |
BADC Acronym and Abbreviation List | Word List | BADC - British Atmospheric Data Centre | Acronym and Abbreviation List | 1 | Users |
Acronym Guide | Word List | Acronym-Guide.com | Acronym and Abbreviation Lists for English, branched in thematic directories | 1 | Users |
Dekang Lin’s Thesaurus | Thesaurus | University of Alberta | Thesaurus automatically constructed using a parsed corpus, based on distributional similarity scores | 1 | Users |
Web1T 5-grams | Word list | Google Inc. | Data set containing English word n-grams and their observed frequency counts. The n-gram counts were generated from approximately 1 trillion word tokens of text from publicly accessible Web pages | 1 | Users |
Wikipedia | Encyclopedia | Free encyclopedia. Used for extraction of lexical-semantic rules (from its more structured parts), named entity recognition, geographical information ecc. | Users | ||
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[*] The numbers refer to the Users in RTE4 (data extracted both from related proceedings and from RTE Knowledge Resources Questionnaire) and in RTE3 (data extracted only from RTE Knowledge Resources Questionnaire) challenges.