Towards Recognizing Textual Entailment of Numerical Expressions in Real Text
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- KOYANO Kana
- Ochanomizu University
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- SUZUKI Riko
- Ochanomizu University
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- HARUTA Izumi
- Ochanomizu University
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- YANAKA Hitomi
- RIKEN
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- BEKKI Daisuke
- Ochanomizu University
Bibliographic Information
- Other Title
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- 実テキストにおける数量表現の含意関係認識に向けて
Abstract
<p>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.</p>
Journal
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- Proceedings of the Annual Conference of JSAI
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Proceedings of the Annual Conference of JSAI JSAI2021 (0), 4J2GS6e02-4J2GS6e02, 2021
The Japanese Society for Artificial Intelligence
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Details 詳細情報について
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- CRID
- 1390851320454068736
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- NII Article ID
- 130008051915
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed