[4J2-GS-6e] 言語メディア処理：自然言語処理(2/2)

[4J2-GS-6e-02] Towards Recognizing Textual Entailment of Numerical Expressions in Real Text

〇Kana Koyano¹, Riko Suzuki¹, Izumi Haruta¹, Hitomi Yanaka², Daisuke Bekki¹ (1. Ochanomizu University, 2. RIKEN)

Keywords:Natural Language Processing, Recognizing Textual Entailment, Numerical Expressions

In the semantic analysis of real texts, there is a social need for a task to automatically compute the similarity/differences between descriptions in multiple documents. Recently, an approach using the natural language inference system ccg2lambda has been attempted for this task. It performs syntactic and semantic analyses, and automated theorem provers for two documents to determine bi-directional entailment relations, and uses the information on the unproven terms for similarity/difference computation. In this research, we focus on the similarity/difference computation of sentences containing numerical expressions, and aim to achieve detailed similarity/difference computation by enabling inferences such as three times implies two or three times. Specifically, we modified the ccg2lambda pipeline by 1) correctly rewriting the syntax trees of sentences containing quantitative expressions using Tsurgeon, and 2) modifying the semantic template according to the rewritten syntax tree.