| 书目名称 | Model Generation for Natural Language Interpretation and Analysis |
| 编辑 | Karsten Konrad |
| 视频video | |
| 概述 | Includes supplementary material: |
| 丛书名称 | Lecture Notes in Computer Science |
| 图书封面 |  |
| 描述 | .Mathematical theorem proving has undergone an impressive development during the last two decades, resulting in a variety of powerful systems for applications in mathematical deduction and knowledge processing. Natural language processing has become a topic of outstanding relevance in information technology, mainly due to the explosive growth of the Web, where by far the largest part of information is encoded in natural language documents...This monograph focuses on the development of inference tools tailored to applications in natural language processing by demonstrating how the model generation paradigm can be used as a framework for the support of specific tasks in natural language interpretation and natural language based inference in a natural way...The book appears at a pivotal moment, when much attention is being paid to the task of adding a semantic layer to the Web, and representation and processing of natural language based semantic information pops up as a primary requirement for further technological progress.. |
| 出版日期 | Book 2004 |
| 关键词 | NLP; Processing; computational linguistics; first-order logic; formal natural language semantics; informa |
| 版次 | 1 |
| doi | https://doi.org/10.1007/b95744 |
| isbn_softcover | 978-3-540-21069-6 |
| isbn_ebook | 978-3-540-24640-4Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
| issn_series | 0302-9743 |
| copyright | Springer-Verlag Berlin Heidelberg 2004 |
发表于 2025-3-21 16:15:29
