Linguistics for the age of AI
著者
書誌事項
Linguistics for the age of AI
The MIT Press, c2021
- : hbk
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注記
Includes bibliographical references (p. [397]-414) and index
Summary: "An explantion of a knowledge-based system for creating computational agents with human-like language ability"-- Provided by publisher
内容説明・目次
内容説明
A human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems.
One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on applying statistical and machine learning approaches to big data rather than attempting to model what people do and how they do it. In this book, Marjorie McShane and Sergei Nirenburg return to the original goal of recreating human-level intelligence in a machine They present a human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems that emphasizes meaning--the deep, context-sensitive meaning that a person derives from spoken or written language.
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