Computational Semantics and Evaluation Benchmark for Interrogative Sentences via Combinatory Categorial Grammar
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Abstract (arXiv)
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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References · 3
- 2018Know What You Don't Know: Unanswerable Questions for SQuADcited by 1,554
- 2017A* CCG Parsing with a Supertag and Dependency Factored Modelcited by 22
- 2017Towards Universal Semantic Taggingcited by 12
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