RTE Knowledge Resources
RTE Knowledge Resources
The table below lists the knowledge resources used in the last RTE challenges.
| 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 | 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 | 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 | Dekang Lin - 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 | Users | |||
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[*] Details on Users in the related links in "Usage info" column.