Annotation-Based Semantics for Space and Time in Language(Studies in Natural Language Processing)

语言中基于注释的时空语义

计算机科学技术基础学科

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作      者
出  版 社
出版时间
2023年05月01日
装      帧
精装
ISBN
9781108839594
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页      码
413
开      本
229 x 152 mm
语      种
英文
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图书简介
Space and time representation in language is important in linguistics and cognitive science research, as well as artificial intelligence applications like conversational robots and navigation systems. This book is the first for linguists and computer scientists that shows how to do model-theoretic semantics for temporal or spatial information in natural language, based on annotation structures. The book covers the entire cycle of developing a specification for annotation and the implementation of the model over the appropriate corpus for linguistic annotation. Its representation language is a type-theoretic, first-order logic in shallow semantics. Each interpretation model is delimited by a set of definitions of logical predicates used in semantic representations (e.g., past) or measuring expressions (e.g., counts or k). The counting function is then defined as a set and its cardinality, involving a universal quantification in a model. This definition then delineates a set of admissible models for interpretation.
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