https://www.aclweb.org/aclwiki/api.php?action=feedcontributions&feedformat=atom&user=Barhaim 2026-05-23T01:47:03Z User contributions MediaWiki 1.43.6 https://www.aclweb.org/aclwiki/index.php?title=Recognizing_Textual_Entailment&diff=3194 2006-12-18T10:08:35Z

<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