Difference between revisions of "Textual Entailment Resource Pool"

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* [http://hlt.fbk.eu/en/Technology/TE_Specialized_Data Textual Entailment Specialized Data Sets] - 90 RTE-5 Test Set pairs annotated with linguistic phenomena + 203 monothematic pairs (i.e. pairs where only one linguistic phenomenon is relevant to the entailment relation) created from the 90 annotated pairs. Provided jointly by [http://hlt.fbk.eu/en/home FBK-Irst], and [http://www.celct.it/ CELCT].
 
* [http://hlt.fbk.eu/en/Technology/TE_Specialized_Data Textual Entailment Specialized Data Sets] - 90 RTE-5 Test Set pairs annotated with linguistic phenomena + 203 monothematic pairs (i.e. pairs where only one linguistic phenomenon is relevant to the entailment relation) created from the 90 annotated pairs. Provided jointly by [http://hlt.fbk.eu/en/home FBK-Irst], and [http://www.celct.it/ CELCT].
 
* [http://www.nist.gov/tac/data/ RTE-5 Search Pilot Data Set annotated with anaphora and coreference information] - RTE-5 Search Data Set annotated with anaphora/coreference information + Augmented RTE-5 Search Data Set, where all the referring expressions which need to be resolved in the entailing sentences are substituted by explicit expressions on the basis of the anaphora/coreference annotation. Provided by [http://www.celct.it/ CELCT] and distributed by [http://www.nist.gov/index.html NIST] at the [http://www.nist.gov/tac/data/ Past TAC Data] web page (2009 Search Pilot, annotated test/dev data).
 
* [http://www.nist.gov/tac/data/ RTE-5 Search Pilot Data Set annotated with anaphora and coreference information] - RTE-5 Search Data Set annotated with anaphora/coreference information + Augmented RTE-5 Search Data Set, where all the referring expressions which need to be resolved in the entailing sentences are substituted by explicit expressions on the basis of the anaphora/coreference annotation. Provided by [http://www.celct.it/ CELCT] and distributed by [http://www.nist.gov/index.html NIST] at the [http://www.nist.gov/tac/data/ Past TAC Data] web page (2009 Search Pilot, annotated test/dev data).
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* [http://www.investigacion.frc.utn.edu.ar/mslabs/~jcastillo/Sagan-test-suite/ RTE-3-Expanded, RTE-4-Expanded, RTE-5-Expanded.] RTE data set expanded in the two and three way task, at least 2000 pairs in each data set.
  
 
== Knowledge Resources ==
 
== Knowledge Resources ==

Revision as of 22:50, 4 September 2010

Textual entailment systems rely on many different types of NLP resources, including term banks, paraphrase lists, parsers, named-entity recognizers, etc. With so many resources being continuously released and improved, it can be difficult to know which particular resource to use when developing a system.

In response, the Recognizing Textual Entailment (RTE) shared task community initiated a new activity for building this Textual Entailment Resource Pool. RTE participants and any other member of the NLP community are encouraged to contribute to the pool.

In an effort to determine the relative impact of the resources, RTE participants are strongly encouraged to report, whenever possible, the contribution to the overall performance of each utilized resource. Formal qualitative and quantitative results should be included in a separate section of the system report as well as posted on the talk pages of this Textual Entailment Resource Pool.

Adding a new resource is very easy. See how to use existing templates to do this in Help:Using Templates.

Complete RTE Systems

RTE data sets

Knowledge Resources

The RTE Knowledge Resources page presents:

  • a call for resources, inviting system developers to share the resources used by their own TE engines, to both help improve the TE technology and further test and evaluate such resources;
  • the ablation tests carried out in the RTE challenges in order to evaluate the impact of knowledge resources and tools on TE system performances;
  • lists of knowledge resources, both publically available and unpublished, used by systems participating in the last RTE challenges.

Tools

Parsers

Role Labelling

Entity Recognition Tools

Similarity / Relatedness Tools

  • UKB: Open source WordNet-based similarity/relatedness tool, includes also pre-computed semantic vectors for all words

Corpus Readers

  • NLTK provides a corpus reader for the data from RTE Challenges 1, 2, and 3 - see the Corpus Readers Guide for more information.

Related Libraries

  • PyPES general purpose library containing evaluation environment for RTE and McPIET text inference engine based on the ERG (English Resource Grammar)

Links