Difference between revisions of "RTE5 - Ablation Tests"
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| Extraction of lexical reference rules from the text body (first sentence) and from metadata (links, redirects, parentheses) of Wikipedia | | Extraction of lexical reference rules from the text body (first sentence) and from metadata (links, redirects, parentheses) of Wikipedia | ||
| style="text-align: center;"|<small>1 - RTE4</small> <br> <small>0 - RTE3</small> | | style="text-align: center;"|<small>1 - RTE4</small> <br> <small>0 - RTE3</small> | ||
− | | [[ | + | | [[WikiRules! - RTE Users|Users]] |
|- bgcolor="#ECECEC" "align="left" | |- bgcolor="#ECECEC" "align="left" | ||
| ''New resource'' | | ''New resource'' |
Revision as of 06:30, 23 November 2009
Publicly available Resources
Resource | Type | Author | Brief description | RTE Users* | Usage info |
---|---|---|---|---|---|
WordNet | Lexical DB | Princeton University | Lexical database of English nouns, verbs, adjectives and adverbs | 21 - RTE4 3 - RTE3 |
Users |
Verbnet | Lexical DB | University of Colorado Boulder | Lexicon for English verbs organized into classes extending Levin (1993) classes through refinement and addition of subclasses to achieve syntactic and semantic coherence among members of a class | 2 - RTE4 2 - RTE3 |
Users |
VerbOcean | Lexical DB | Information Sciences Institute, University of Southern California | Broad-coverage semantic network of verbs | 4 - RTE4 1 - RTE3 |
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 | 1 - RTE4 1 - RTE3 |
Users |
NomBank | Lexical DB | New York University | Lexical resource containing syntactic frames for nouns, extracted from annotated corpora | 1 - RTE4 2 - RTE3 |
Users |
PropBank | Lexical DB | University of Colorado Boulder | Lexical resource containing syntactic frames for verbs, extracted from annotated corpora | 1 - RTE4 2 - RTE3 |
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 - RTE4 0 - RTE3 |
Users |
Wikipedia | Encyclopedia | Free encyclopedia. Used for extraction of lexical-semantic rules (from its more structured parts), named entity recognition, geographical information etc. | 3 - RTE4 0 - RTE3 |
Users | |
TEASE Collection | Collection of Entailment Rules | Bar-Ilan University | Output of the TEASE algorithm | 0 - RTE4 0 - RTE3 |
Users |
BADC Acronym and Abbreviation List | Word List | BADC (British Atmospheric Data Centre) | Acronym and Abbreviation List | 1 - RTE4 0 - RTE3 |
Users |
Acronym Guide | Word List | Acronym-Guide.com | Acronym and Abbreviation Lists for English, branched in thematic directories | 1 - RTE4 0 - RTE3 |
Users |
Dekang Lin’s Thesaurus | Thesaurus | University of Alberta | Thesaurus automatically constructed using a parsed corpus, based on distributional similarity scores | 1 - RTE4 0 - RTE3 |
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. | 0 - RTE4 1 - RTE3 |
Users |
Web1T 5-grams | Word list | Linguistic Data Consortium, University of Pennsylvania; 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 - RTE4 0 - RTE3 |
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 - RTE4 0 - RTE3 |
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 - RTE4 0 - RTE3 |
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 - RTE4 0 - RTE3 |
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 - RTE4 0 - RTE3 |
Users |
Downward entailing operators | Collection of entailing operators | Department of Computer Science, Cornell University, Ithaca NY | System output of an unsupervised algorithm recovering many Downward Entailing operators, like 'doubt'. | 0 - RTE4 0 - RTE3 |
Users |
WikiRules! |
Lexical Reference rule-base | Bar-Ilan University | Extraction of lexical reference rules from the text body (first sentence) and from metadata (links, redirects, parentheses) of Wikipedia | 1 - RTE4 0 - RTE3 |
Users |
New resource | Participants are encouraged to contribute | Users | |||
New resource | Participants are encouraged to contribute | Users |