Model Generation for Natural Langage Interpretation and Analysis

Karsten Konrad - Collection Lecture Notes in Computer Science

166 pages, parution le 06/04/2004

Ajouter à une liste

Indisponible

Résumé

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.

Written for:
Researchers and professionals

Sommaire

Motivation
Part I Logics
- Model Generation
- Higher-Order Model Generation
- Minimal Model Generation
Part II Linguistics
- The Analysis of Denites
- Reciprocity
- Abduction
- Implementation
- Conclusion
- A Some Example Problems

Voir tout

Replier

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Karsten Konrad
Collection	Lecture Notes in Computer Science
Parution	06/04/2004
Nb. de pages	166
Format	15,5 x 23,5
Couverture	Broché
Poids	265g
Intérieur	Noir et Blanc
EAN13	9783540210696