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

2023-12-22 · Hayate Funakura, Koji Mineshima

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.

📄 PDF Abstract BibTeX arXiv:2312.14737

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Tasks

Question Answering

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Gesture Recognition Sentence Sign Language Recognition Sign Language Translation+1

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Question Answering Sentence Vocal Bursts Type Prediction

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Form Object Sentence Spatio-Temporal Video Grounding+1