Acquisition of phrase correspondences using natural deduction proofs

Hitomi Yanaka, Koji Mineshima, Pascual Martínez-Gómez, Daisuke Bekki

Research output: Contribution to journalArticlepeer-review

Abstract

How to identify, extract, and use phrasal knowledge is a crucial problem for the task of Recognizing Textual Entailment (RTE). To solve this problem, we propose a method for detecting paraphrases via natural deduction proofs of semantic relations between sentence pairs. Our solution relies on a graph reformulation of partial variable unifications and an algorithm that induces subgraph alignments between meaning representations. Experiments show that our method can automatically detect various paraphrases that are absent from existing paraphrase databases. In addition, the detection of paraphrases using proof information improves the accuracy of RTE tasks.

Original languageEnglish
JournalUnknown Journal
Publication statusPublished - 2018 Apr 20
Externally publishedYes

ASJC Scopus subject areas

  • General

Fingerprint Dive into the research topics of 'Acquisition of phrase correspondences using natural deduction proofs'. Together they form a unique fingerprint.

Cite this