Textual Entailment Resource Pool

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* [http://edits.fbk.eu/ EDITS - Edit Distance Textual Entailment Suite] (open source software developed by [http://hlt.fbk.eu/ Human Language Technology (HLT) group at FBK-Irst])
 
* [http://edits.fbk.eu/ EDITS - Edit Distance Textual Entailment Suite] (open source software developed by [http://hlt.fbk.eu/ Human Language Technology (HLT) group at FBK-Irst])
 
* [http://u.cs.biu.ac.il/~nlp/downloads/biutee/protected-biutee.html BIUTEE] - Bar Ilan University Textual Entailment Engine (open source)
 
* [http://u.cs.biu.ac.il/~nlp/downloads/biutee/protected-biutee.html BIUTEE] - Bar Ilan University Textual Entailment Engine (open source)
 +
* [http://hltfbk.github.io/Excitement-Open-Platform/ EXCITEMENT Open Platform (EOP)] - A generic multi-lingual platform for textual inference made available to the scientific and technological communities by the [http://www.excitement-project.eu/ EU project EXCITEMENT]
  
 
== RTE data sets ==
 
== RTE data sets ==

Revision as of 08:26, 21 August 2013

Textual Entailment > Resources:


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.

Contents

Complete RTE Systems

RTE data sets

Past campaigns data sets


Other 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 publicly available and unpublished, used by systems participating in the last RTE challenges.

Projects

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)

Text Normalizers

Java number normalizer (Beta) A tool for converting textual representations of numbers to a standard numerical string.

References

Links

Personal tools