Difference between revisions of "RTE Knowledge Resources"

From ACL Wiki
Jump to navigation Jump to search
m
m
Line 15: Line 15:
 
| Princeton University
 
| Princeton University
 
| Lexical database of English nouns, verbs, adjectives and adverbs
 
| Lexical database of English nouns, verbs, adjectives and adverbs
| 23
+
| style="text-align: center;"|23
 
| [[WordNet RTE Users|Users]]
 
| [[WordNet RTE Users|Users]]
 
|- bgcolor="#ECECEC" "align="left"
 
|- bgcolor="#ECECEC" "align="left"
Line 22: Line 22:
 
| University of Colorado Boulder
 
| University of Colorado Boulder
 
| On-line lexicon for English verbs organized into classes
 
| On-line lexicon for English verbs organized into classes
| 3
+
| style="text-align: center;"|3
 
| [[Verbnet RTE Users|Users]]
 
| [[Verbnet RTE Users|Users]]
 
|- bgcolor="#ECECEC" "align="left"
 
|- bgcolor="#ECECEC" "align="left"
Line 29: Line 29:
 
| University of Southern California
 
| University of Southern California
 
| Broad-coverage semantic network of verbs
 
| Broad-coverage semantic network of verbs
| 5
+
| style="text-align: center;"|5
 
| [[VerbOcean RTE Users|Users]]
 
| [[VerbOcean RTE Users|Users]]
 
|- bgcolor="#ECECEC" "align="left"
 
|- bgcolor="#ECECEC" "align="left"
Line 36: Line 36:
 
| Berkeley FrameNet project
 
| Berkeley FrameNet project
 
| On-line lexical resource for English words, based on frame semantics (valences) and supported by corpus evidence
 
| On-line lexical resource for English words, based on frame semantics (valences) and supported by corpus evidence
| 2
+
| style="text-align: center;"|2
 
| [[Framenet RTE Users|Users]]
 
| [[Framenet RTE Users|Users]]
 
|- bgcolor="#ECECEC" "align="left"
 
|- bgcolor="#ECECEC" "align="left"
Line 43: Line 43:
 
| New York University
 
| New York University
 
| Lexical Resources containing syntactic frames for nouns, extracted from annotated corpora  
 
| Lexical Resources containing syntactic frames for nouns, extracted from annotated corpora  
| 2
+
| style="text-align: center;"|2
 
| [[NomBank Resources RTE Users|Users]]  
 
| [[NomBank Resources RTE Users|Users]]  
 
|- bgcolor="#ECECEC" "align="left"
 
|- bgcolor="#ECECEC" "align="left"
Line 50: Line 50:
 
| Proteus Project - New York University
 
| 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
 
| 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
+
| style="text-align: center;"|1
 
| [[Nomlex Plus RTE Users|Users]]
 
| [[Nomlex Plus RTE Users|Users]]
 
|- bgcolor="#ECECEC" "align="left"
 
|- bgcolor="#ECECEC" "align="left"
Line 57: Line 57:
 
| [http://www.parc.com/ PARC] - Palo Alto Research Center
 
| [http://www.parc.com/ PARC] - Palo Alto Research Center
 
| Verbs classification with respect to semantic polarity
 
| Verbs classification with respect to semantic polarity
| 1
+
| style="text-align: center;"|1
 
| [[Parc Polarity Lexicon RTE Users|Users]]
 
| [[Parc Polarity Lexicon RTE Users|Users]]
 
|- bgcolor="#ECECEC" "align="left"
 
|- bgcolor="#ECECEC" "align="left"
Line 64: Line 64:
 
| Various
 
| Various
 
| Output of the DIRT algorithm  
 
| Output of the DIRT algorithm  
| 4
+
| style="text-align: center;"|4
 
| [[DIRT Paraphrase Collections RTE Users|Users]]
 
| [[DIRT Paraphrase Collections RTE Users|Users]]
 
|- bgcolor="#ECECEC" "align="left"
 
|- bgcolor="#ECECEC" "align="left"
Line 71: Line 71:
 
| University of Colorado Boulder  
 
| University of Colorado Boulder  
 
| Lexical Resources containing syntactic frames for verbs, extracted from annotated corpora  
 
| Lexical Resources containing syntactic frames for verbs, extracted from annotated corpora  
| 2
+
| style="text-align: center;"|2
 
| [[PropBank Resources RTE Users|Users]]
 
| [[PropBank Resources RTE Users|Users]]
 
|- bgcolor="#ECECEC" "align="left"
 
|- bgcolor="#ECECEC" "align="left"
Line 78: Line 78:
 
| Bar Ilan University
 
| Bar Ilan University
 
| Collection of Entailment Rules
 
| Collection of Entailment Rules
| 0
+
| style="text-align: center;"|0
 
| [[Tease Collection RTE Users|Users]]
 
| [[Tease Collection RTE Users|Users]]
 
|- bgcolor="#ECECEC" "align="left"
 
|- bgcolor="#ECECEC" "align="left"
Line 85: Line 85:
 
| BADC -  British Atmospheric Data Centre
 
| BADC -  British Atmospheric Data Centre
 
| Acronym and Abbreviation List
 
| Acronym and Abbreviation List
| 1
+
| style="text-align: center;"|1
 
| [[BADC Acronym and Abbreviation List RTE Users|Users]]
 
| [[BADC Acronym and Abbreviation List RTE Users|Users]]
 
|- bgcolor="#ECECEC" "align="left"
 
|- bgcolor="#ECECEC" "align="left"
Line 92: Line 92:
 
| Acronym-Guide.com  
 
| Acronym-Guide.com  
 
| Acronym and Abbreviation Lists for English, branched in thematic directories  
 
| Acronym and Abbreviation Lists for English, branched in thematic directories  
| 1
+
| style="text-align: center;"|1
 
| [[Acronym Guide RTE Users|Users]]
 
| [[Acronym Guide RTE Users|Users]]
 
|- bgcolor="#ECECEC" "align="left"
 
|- bgcolor="#ECECEC" "align="left"
Line 99: Line 99:
 
| Dekang Lin - University of Alberta
 
| Dekang Lin - University of Alberta
 
| Thesaurus automatically constructed using a parsed corpus, based on distributional similarity scores
 
| Thesaurus automatically constructed using a parsed corpus, based on distributional similarity scores
| 1
+
| style="text-align: center;"|1
 
| [[Dekang Lin’s Thesaurus RTE Users|Users]]
 
| [[Dekang Lin’s Thesaurus RTE Users|Users]]
 
|- bgcolor="#ECECEC" "align="left"
 
|- bgcolor="#ECECEC" "align="left"
Line 106: Line 106:
 
| Google Inc.
 
| 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
 
| 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
+
| style="text-align: center;"|1
 
| [[Web1T RTE Users|Users]]
 
| [[Web1T RTE Users|Users]]
 
|- bgcolor="#ECECEC" "align="left"
 
|- bgcolor="#ECECEC" "align="left"

Revision as of 05:08, 7 April 2009

The table below lists the knowledge resources used by participants 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
Users
Users
Users
Users
Users
Users


[*] Details about Users in the related links in the "Usage info" column.