A CCG-based Compositional Semantics and Inference System for Comparatives

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Authors Koji Mineshima, Izumi Haruta, Daisuke Bekki
Journal/Conference Name Proceedings of the 33rd Pacific Asia Conference on Language, Information and Computation, PACLIC 2019
Paper Category
Paper Abstract Comparative constructions play an important role in natural language inference. However, attempts to study semantic representations and logical inferences for comparatives from the computational perspective are not well developed, due to the complexity of their syntactic structures and inference patterns. In this study, using a framework based on Combinatory Categorial Grammar (CCG), we present a compositional semantics that maps various comparative constructions in English to semantic representations and introduces an inference system that effectively handles logical inference with comparatives, including those involving numeral adjectives, antonyms, and quantification. We evaluate the performance of our system on the FraCaS test suite and show that the system can handle a variety of complex logical inferences with comparatives.
Date of publication 2019
Code Programming Language Python
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