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        <title>Implementing a Logical Inference System for Japanese Comparatives</title>
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        <namePart type="given">Yosuke</namePart>
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    <name type="personal">
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    <abstract>Natural Language Inference (NLI) involving comparatives is challenging because it requires understanding quantities and comparative relations expressed by sentences. While some approaches leverage Large Language Models (LLMs), we focus on logic-based approaches grounded in compositional semantics, which are promising for robust handling of numerical and logical expressions. Previous studies along these lines have proposed logical inference systems for English comparatives. However, it has been pointed out that there are several morphological and semantic differences between Japanese and English comparatives. These differences make it difficult to apply such systems directly to Japanese comparatives. To address this gap, this study proposes ccg-jcomp, a logical inference system for Japanese comparatives based on compositional semantics. We evaluate the proposed system on a Japanese NLI dataset containing comparative expressions. We demonstrate the effectiveness of our system by comparing its accuracy with that of existing LLMs.</abstract>
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%0 Conference Proceedings
%T Implementing a Logical Inference System for Japanese Comparatives
%A Mikami, Yosuke
%A Matsuoka, Daiki
%A Yanaka, Hitomi
%Y Abzianidze, Lasha
%Y de Paiva, Valeria
%S Proceedings of the 5th Workshop on Natural Logic Meets Machine Learning (NALOMA)
%D 2025
%8 August
%I Association for Computational Linguistics
%C Bochum, Germany
%@ 979-8-89176-287-9
%F mikami-etal-2025-implementing
%X Natural Language Inference (NLI) involving comparatives is challenging because it requires understanding quantities and comparative relations expressed by sentences. While some approaches leverage Large Language Models (LLMs), we focus on logic-based approaches grounded in compositional semantics, which are promising for robust handling of numerical and logical expressions. Previous studies along these lines have proposed logical inference systems for English comparatives. However, it has been pointed out that there are several morphological and semantic differences between Japanese and English comparatives. These differences make it difficult to apply such systems directly to Japanese comparatives. To address this gap, this study proposes ccg-jcomp, a logical inference system for Japanese comparatives based on compositional semantics. We evaluate the proposed system on a Japanese NLI dataset containing comparative expressions. We demonstrate the effectiveness of our system by comparing its accuracy with that of existing LLMs.
%U https://aclanthology.org/2025.naloma-1.3/
%P 18-32

Markdown (Informal)

[Implementing a Logical Inference System for Japanese Comparatives](https://aclanthology.org/2025.naloma-1.3/) (Mikami et al., NALOMA 2025)

• Implementing a Logical Inference System for Japanese Comparatives (Mikami et al., NALOMA 2025)

ACL

• Yosuke Mikami, Daiki Matsuoka, and Hitomi Yanaka. 2025. Implementing a Logical Inference System for Japanese Comparatives. In Proceedings of the 5th Workshop on Natural Logic Meets Machine Learning (NALOMA), pages 18–32, Bochum, Germany. Association for Computational Linguistics.