https://aclweb.org/aclwiki/api.php?action=feedcontributions&user=Barhaim&feedformat=atomACL Wiki - User contributions [en]2024-03-28T17:44:08ZUser contributionsMediaWiki 1.35.2https://aclweb.org/aclwiki/index.php?title=Recognizing_Textual_Entailment&diff=3194Recognizing Textual Entailment2006-12-18T10:08:35Z<p>Barhaim: /* History */</p>
<hr />
<div>'''[[Textual Entailment]]''' Recognition has been proposed recently as a generic task that captures major semantic inference needs across many [[Natural Language Processing|NLP]] applications, such as [[Question Answering]], [[Information Retrieval]], [[Information Extraction]], and [[Summarization|(multi-) document summarization]]. This task requires to recognize, given two text fragments, whether the meaning of one text is entailed (can be inferred) from the other text.<br />
<br />
== History ==<br />
* [http://www.pascal-network.org/Challenges/RTE/ RTE-1]<br />
* [http://www.pascal-network.org/Challenges/RTE2/ RTE-2]<br />
* [http://www.pascal-network.org/Challenges/RTE3/ RTE-3] '''''new!'''''<br />
<br />
== [[Textual Entailment Resource Pool|Resource Pool]] ==<br />
<br />
In an effort to determine the relative impact of the many resources used withing the RTE challenge, RTE-3 initiated a new activity for building a '''[[Textual Entailment Resource Pool]]'''. RTE participants and any other member of the NLP community are encouraged to contribute to the RTE Resource Pool.<br />
<br />
== More Information ==<br />
* [http://www.pascal-network.org/Challenges/RTE2/ RTE Homepage]<br />
<br />
[[Category:Textual Entailment Portal]]</div>Barhaim