Recognizing Textual Entailment

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[[Textual Entailment]] > '''Challenges''':
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'''[[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 [[Text 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.
 
'''[[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 [[Text 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.
  

Revision as of 08:14, 22 December 2010

Textual Entailment > Challenges:


Textual Entailment Recognition has been proposed recently as a generic task that captures major semantic inference needs across many NLP applications, such as Question Answering, Information Retrieval, Information Extraction, and Text 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.

History

Resource Pool

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.

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