Abstract
This paper proposes a knowledge representation model and a logic proving setting with axioms on demand successfully used for recognizing textual entailments. It also details a lexical inference system which boosts the performance of the deep semantic oriented approach on the RTE data. The linear combination of two slightly different logical systems with the third lexical inference system achieves 73.75% accuracy on the RTE 2006 data.
Cite
CITATION STYLE
Tatu, M., & Moldovan, D. (2006). A logic-based semantic approach to recognizing textual entailment. In COLING/ACL 2006 - 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Main Conference Poster Sessions (pp. 819–826). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1273073.1273178
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