Stevenson Suzanne, Merlo Paola
Department of Computer Science, University of Toronto, Toronto, ON, Canada.
Linguistics Department, University of Geneva, Geneva, Switzerland.
Front Artif Intell. 2022 May 24;5:796741. doi: 10.3389/frai.2022.796741. eCollection 2022.
To process language in a way that is compatible with human expectations in a communicative interaction, we need computational representations of lexical properties that form the basis of human knowledge of words. In this article, we concentrate on word-level semantics. We discuss key concepts and issues that underlie the scientific understanding of the human lexicon: its richly structured semantic representations, their ready and continual adaptability, and their grounding in crosslinguistically valid conceptualization. We assess the state of the art in natural language processing (NLP) in achieving these identified properties, and suggest ways in which the language sciences can inspire new approaches to their computational instantiation.
为了以一种与人类在交际互动中的期望相兼容的方式处理语言，我们需要词汇属性的计算表示，这些表示构成了人类词汇知识的基础。在本文中，我们专注于词汇层面的语义。我们讨论了对人类词汇进行科学理解的关键概念和问题：其结构丰富的语义表示、它们随时且持续的适应性，以及它们在跨语言有效概念化中的基础。我们评估了自然语言处理（NLP）在实现这些已确定属性方面的现状，并提出了语言科学可以激发其计算实例化新方法的途径。
