Model Generation for Natural Language Interpretation and Analysis
Author | : Karsten Konrad |
Publisher | : Springer Science & Business Media |
Total Pages | : 176 |
Release | : 2004-02-10 |
ISBN-10 | : 9783540210696 |
ISBN-13 | : 3540210695 |
Rating | : 4/5 (96 Downloads) |
Download or read book Model Generation for Natural Language Interpretation and Analysis written by Karsten Konrad and published by Springer Science & Business Media. This book was released on 2004-02-10 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.