Semantic inference at the lexical-syntactic level for textual entailment recognition

Authors:
Roy Bar-Haim;Ido Dagan;Iddo Greental;Idan Szpektor;Moshe Friedman
Affiliations:
Bar-Ilan University, Ramat-Gan, Israel;Bar-Ilan University, Ramat-Gan, Israel;Tel Aviv University, Ramat Aviv, Israel;Bar-Ilan University, Ramat-Gan, Israel;Bar-Ilan University, Ramat-Gan, Israel
Venue:
RTE '07 Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing
Year:
2007

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Abstract

We present a new framework for textual entailment, which provides a modular integration between knowledge-based exact inference and cost-based approximate matching. Diverse types of knowledge are uniformly represented as entailment rules, which were acquired both manually and automatically. Our proof system operates directly on parse trees, and infers new trees by applying entailment rules, aiming to strictly generate the target hypothesis from the source text. In order to cope with inevitable knowledge gaps, a cost function is used to measure the remaining "distance" from the hypothesis.