Difference between revisions of "RTE Knowledge Resources"

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| Collections of rules, patterns etc. for RTE purpose, extracted from parsed Reuter corpus.
 
| Collections of rules, patterns etc. for RTE purpose, extracted from parsed Reuter corpus.
 
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Revision as of 09:13, 7 May 2009

This page has been created with the purpose of sharing information about knowledge resources used by systems which participated in one or more RTE challenges.

Participants are encouraged to add information about all kind of knowledge resources, from standard existing resources (e.g. WordNet) to knowledge collections created for specific purposes which can be made available to the community.

The table is sortable by Resource name, type, author and number of users.

Resource Type Author Brief description RTE Users* Usage info
WordNet Lexical DB Princeton University Lexical database of English nouns, verbs, adjectives and adverbs 23 Users
Verbnet Lexical DB University of Colorado Boulder Lexicon for English verbs organized into classes 3 Users
VerbOcean Lexical DB University of Southern California Broad-coverage semantic network of verbs 5 Users
FrameNet Lexical DB ICSI (International Computer Science Institute) - Berkley University Lexical resource for English words, based on frame semantics (valences) and supported by corpus evidence 2 Users
NomBank Lexical DB New York University Lexical resource containing syntactic frames for nouns, extracted from annotated corpora 2 Users
PropBank Lexical DB University of Colorado Boulder Lexical resource containing syntactic frames for verbs, extracted from annotated corpora 2 Users
Nomlex Plus Lexical DB 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 DB PARC - Palo Alto Research Center Verbs classification with respect to semantic polarity 1 Users
Wikipedia Encyclopedia Free encyclopedia. Used for extraction of lexical-semantic rules (from its more structured parts), named entity recognition, geographical information etc. 3 Users
DIRT Paraphrase Collection Collection of paraphrases University of Alberta Output of the DIRT algorithm 4 Users
TEASE Collection Collection of Entailment Rules Bar Ilan University Output of the TEASE algorithm 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
Roget's Thesaurus Thesaurus Peter Mark Roget (Electronic version distributed by University of Chicago) Roget's Thesaurus is a widely-used English thesaurus, created by Dr. Peter Mark Roget in 1805. The original edition had 15,000 words, and each new edition has been larger. The electronic edition (version 1.02) is made available by University of Chicago. 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
GNIS - Geographic Names Information System Gazetteer USGS - United States Geological Survey Database containing the Federal and national standard toponyms for USA, associated areas and Antarctica 1 Users
Geonames Gazetteer Database containing eight million geographical names. It is integrating geographical data such as names of places in various languages, elevation, population and others from various sources. 1 Users
Gazetteer from TREC Gazetteer NIST - National Institute of Standards and Technology Cities and other geographical names 1 Users
DFKI Geographic Ontology Ontology DFKI - German Research Center for Artificial Intelligence Ontology containing geographic terms and two kinds of relations: the directional part-of relation, and the equal relation for synonyms and abbreviations of the same geographic area (e.g the United Kingdom, the UK, Great Britain, etc.) 1 Users
Syntactic rule base
(to be released)
Collection of Entailment Rules Bar-Ilan University A manually-composed collection of entailment rules which define parse tree transformations. The rules cover generic syntactic phenomena such as appositions, conjunctions, passive, relative clause, etc. (Bar-Haim et al., AAAI-07) 1 Users
Polarity rule base
(to be released)
Collection of Entailment Rules Bar-Ilan University A manually-composed collection of entailment rules which detect predicates whose polarity is negative (e.g. didn't dance) or unknown (e.g. plans to dance). The rules capture diverse phenomena that affect polarity, e.g. verbal negation, modal verbs, conditionals, and certain verbs that induce negative or "unknown" polarity context. The latter were taken mainly from VerbNet. Extends a resource described in (Bar-Haim et al., AAAI-07) 1 Users
Lexical-Syntactic rule base combining WordNet, NomLex-plus and Unary DIRT Collection of Entailment Rules Bar-Ilan University Extract lexical-syntactic entailment rules for predicates (verbal and nominal), including argument mapping. The resource is based on WordNet, Nomlex-Plus and Unary DIRT (Szpektor and Dagan, Coling 08) 1 Users
Lexical reference rules extracted from Wikipedia
(to be released)
Collection of Entailment Rules Bar-Ilan University Extraction of lexical entailment rules from the text body (first sentence), and from metadata (links, redirects, parentheses) 1 Users
OPENU Collection Collection of Entailment Rules and Patterns Open University Collections of rules, patterns etc. for RTE purpose, extracted from parsed Reuter corpus. 1 Users
Sekine's Paraphrase Database Collection of paraphrases Department of Computer Science, New York University Data-base created using Sekine's method, NOT cleaned up by human. It includes 19,975 sets of paraphrases with 191,572 phrases. 0 Users
Microsoft Research Paraphrase Corpus Collection of paraphrases Microsoft Research Text file containing 5800 pairs of sentences which have been extracted from news sources on the web, along with human annotations indicating whether each pair captures a paraphrase/semantic equivalence relationship. 0 Users
New resource Participants are encouraged to contribute Users
New resource Participants are encouraged to contribute Users


[*] The number of Users (see "Usage Info" links for details) refers to participants in the last two RTE challenges.
RTE-3 data have been provided only by participants, whereas RTE-4 data have been integrated with information extracted from the related proceedings.