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Computational Semantics and Evaluation Benchmark for Interrogative Sentences via Combinatory Categorial Grammar

2023/12/22 by Hayate Funakura, Funakura, Hayate, Koji Mineshima +1
Arts and Humanities · Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Logic in Computer Science (cs.LO) #Natural Language Processing Techniques #Semantic Web and Ontologies #linguistics and terminology studies

paper · pdf · doi:10.48550/arxiv.2312.14737

openalex publication_date 2023/12/22 · openalex created_date 2023/12/26 · openalex updated_date 2026/07/28

Abstract

We present a compositional semantics for various types of polar questions and wh-questions within the framework of Combinatory Categorial Grammar (CCG). To assess the explanatory power of our proposed analysis, we introduce a question-answering dataset QSEM specifically designed to evaluate the semantics of interrogative sentences. We implement our analysis using existing CCG parsers and conduct evaluations using the dataset. Through the evaluation, we have obtained annotated data with CCG trees and semantic representations for about half of the samples included in QSEM. Furthermore, we discuss the discrepancy between the theoretical capacity of CCG and the capabilities of existing CCG parsers.

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