RTE Knowledge Resources

The table below lists the knowledge resources used by participants in the last RTE challenges. Other important RTE resources (e.g. Tease collection) 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	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 about Users in the related links in the "Usage info" column.