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  Inferring textual entailment with a probabilistically sound calculus

Harmeling, S. (2009). Inferring textual entailment with a probabilistically sound calculus. Natural Language Engineering, 15(4), 459-477. doi:10.1017/S1351324909990118.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-C25E-7 Version Permalink: http://hdl.handle.net/21.11116/0000-0002-BB45-E
Genre: Journal Article

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 Creators:
Harmeling, S1, 2, Author              
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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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 a 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. The calculus is successfully evaluated on the datasets of the PASCAL Challenge on Recognizing Textual Entailment.

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 Dates: 2009-10
 Publication Status: Published in print
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 Rev. Type: -
 Identifiers: DOI: 10.1017/S1351324909990118
BibTex Citekey: 6081
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Title: Natural Language Engineering
Source Genre: Journal
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Publ. Info: Cambridge, UK : Cambridge University Press
Pages: - Volume / Issue: 15 (4) Sequence Number: - Start / End Page: 459 - 477 Identifier: ISSN: 1351-3249
CoNE: https://pure.mpg.de/cone/journals/resource/954925342769