A Lexical Alignment Model for Probabilistic Textual Entailment

Author:

Glickman Oren,Dagan Ido,Koppel Moshe

Publisher

Springer Berlin Heidelberg

Reference20 articles.

1. Bacchus, F.: Representing and Reasoning with Probabilistic Knowledge. MIT Press, Cambridge (1990)

2. Bar-Haim, R., Szpektor, I., Glickman, O.: Definition and Analysis of Intermediate Entailment Levels. In: ACL 2005 Workshop on Empirical Modeling of Semantic Equivalence and Entailment (2005)

3. LNAI;J. Bos,2006

4. Brown, P.F., Della Pietra, V.J., Della Pietra, S.A., Mercer, R.L.: The Mathematics of Statistical Machine Translation: Parameter Estimation. Computational Linguistics 19(2), 263–311 (1993)

5. Chierchia, G., McConnell-Ginet, S.: Meaning and grammar: An introduction to semantics, 2nd edn. MIT Press, Cambridge (2001)

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1. Benchmarking Applied Semantic Inference: The PASCAL Recognising Textual Entailment Challenges;Lecture Notes in Computer Science;2014

2. Statistical Relational Learning to Recognise Textual Entailment;Computational Linguistics and Intelligent Text Processing;2014

3. Recognizing Textual Entailment: Models and Applications;Synthesis Lectures on Human Language Technologies;2013-07-19

4. Recognizing textual entailment: Rational, evaluation and approaches – Erratum;Natural Language Engineering;2010-01

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