| 书目名称 | Natural Language Generation in Artificial Intelligence and Computational Linguistics |
| 编辑 | Cécile L. Paris,William R. Swartout,William C. Man |
| 视频video | |
| 丛书名称 | The Springer International Series in Engineering and Computer Science |
| 图书封面 |  |
| 描述 | One of the aims of Natural Language Processing is to facilitate .the use of computers by allowing their users to communicate in natural language. There are two important aspects to person-machine communication: understanding and generating. While natural language understanding has been a major focus of research, natural language generation is a relatively new and increasingly active field of research. This book presents an overview of the state of the art in natural language generation, describing both new results and directions for new research. The principal emphasis of natural language generation is not only to facili tate the use of computers but also to develop a computational theory of human language ability. In doing so, it is a tool for extending, clarifying and verifying theories that have been put forth in linguistics, psychology and sociology about how people communicate. A natural language generator will typically have access to a large body of knowledge from which to select information to present to users as well as numer of expressing it. Generating a text can thus be seen as a problem of ous ways decision-making under multiple constraints: constraints from the prop |
| 出版日期 | Book 1991 |
| 关键词 | Text; artificial intelligence; computational linguistics; expert system; intelligence; linguistics; natura |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4757-5945-7 |
| isbn_softcover | 978-1-4419-5125-0 |
| isbn_ebook | 978-1-4757-5945-7Series ISSN 0893-3405 |
| issn_series | 0893-3405 |
| copyright | Springer Science+Business Media New York 1991 |
发表于 2025-3-21 16:30:24
