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  An Extensible Probabilistic Transformation-based Approach to the Third Recognizing Textual Entailment Challenge

Harmeling, S. (2007). An Extensible Probabilistic Transformation-based Approach to the Third Recognizing Textual Entailment Challenge. In RTE '07: ACL-PASCAL Workshop on Textual Entailment and Paraphrasing (pp. 137-142). Stroudsburg, PA, USA: Association for Computational Linguistics.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-CD59-4 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-E243-2
Genre: Conference Paper

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https://dl.acm.org/citation.cfm?id=1654564 (Publisher version)
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 Creators:
Harmeling, S1, Author              
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1External Organizations, ou_persistent22              

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 Abstract: We introduce a system for textual entailment that is based on a probabilistic model of entailment. The model is defined using some calculus of transformations on dependency trees, which is characterized by the fact that derivations in that calculus preserve the truth only with a certain probability. We also describe a possible set of transformations (and with it implicitly a calculus) that was successfully applied to the RTE3 challenge data. However, our system can be improved in many ways and we see it as the starting point for a promising new approach to textual entailment.

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 Dates: 2007-06
 Publication Status: Published in print
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 Identifiers: BibTex Citekey: 6345
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Title: ACL-PASCAL Workshop on Textual Entailment and Paraphrasing (TextEntail 2007)
Place of Event: Praha, Czech Republic
Start-/End Date: 2007-06-28 - 2007-06-29

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Title: RTE '07: ACL-PASCAL Workshop on Textual Entailment and Paraphrasing
Source Genre: Proceedings
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Publ. Info: Stroudsburg, PA, USA : Association for Computational Linguistics
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 137 - 142 Identifier: -