Towards a Wide-coverage Tableau Method for Natural Logic

Lasha Abzianidze

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Abstract

The rst step towards a wide-coverage tableau prover for natural logic is presented. We describe an automatized method for obtaining Lambda Logical Forms from surface forms and use this method with an implemented prover to hunt for new tableau rules in textual entailment data sets. The collected tableau rules are presented and their usage is also exemplified in several tableau proofs. The performance of the prover is evaluated against the development data sets. The evaluation results show an extremely high precision above 97% of the prover along with a decent recall around 40%.
Original languageEnglish
Title of host publicationNew Frontiers in Artificial Intelligence
Subtitle of host publicationJSAI-isAI 2014 Workshops, LENLS, JURISIN, and GABA, Revised Selected Papers
EditorsTsuyoshi Murata, Koji Mineshima, Daisuke Bekki
PublisherSpringer Verlag
Number of pages16
Volume9067
ISBN (Electronic)9783662481196
ISBN (Print)9783662481189
DOIs
Publication statusPublished - 2015

Publication series

NameLecture Notes in Artificial Intelligence

Cite this

Abzianidze, L. (2015). Towards a Wide-coverage Tableau Method for Natural Logic. In T. Murata, K. Mineshima, & D. Bekki (Eds.), New Frontiers in Artificial Intelligence: JSAI-isAI 2014 Workshops, LENLS, JURISIN, and GABA, Revised Selected Papers (Vol. 9067). (Lecture Notes in Artificial Intelligence). Springer Verlag. https://doi.org/10.1007/978-3-662-48119-6