构建日语比较句逻辑推理系统，提升数学与逻辑表达理解能力
Implementing a Logical Inference System for Japanese Comparatives
- 基于组合语义构建日语比较句逻辑推理框架
- 在日语自然语言推理数据集上准确率优于现有大模型
- 适合需要精确逻辑推理的跨语言自然语言处理研究
自然语言推理中涉及比较句的理解极具挑战性，因需准确把握数量与比较关系。尽管部分方法依赖大语言模型（LLMs），本文聚焦基于组合语义的逻辑推理方法，该方法在处理数值和逻辑表达方面更具鲁棒性。先前研究已提出英语比较句的逻辑推理系统，但日语与英语在形态和语义上存在差异，导致直接迁移困难。为此，本文提出ccg-jcomp，一个基于组合语义的日语比较句逻辑推理系统，并在包含比较表达的日语自然语言推理数据集上进行评估。实验表明，该系统在准确率上优于现有大模型，验证了其有效性。
原文摘要 · Abstract (English)
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.
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