Model Generation for Natural Language Interpretation and Analysis

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 tec...

Full description

Bibliographic Details
Main Author: Konrad, Karsten
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2004, 2004
Edition:1st ed. 2004
Series:Lecture Notes in Artificial Intelligence
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
LEADER 02513nmm a2200349 u 4500
001 EB000652137
003 EBX01000000000000000505219
005 00000000000000.0
007 cr|||||||||||||||||||||
008 140122 ||| eng
020 |a 9783540246404 
100 1 |a Konrad, Karsten 
245 0 0 |a Model Generation for Natural Language Interpretation and Analysis  |h Elektronische Ressource  |c by Karsten Konrad 
250 |a 1st ed. 2004 
260 |a Berlin, Heidelberg  |b Springer Berlin Heidelberg  |c 2004, 2004 
300 |a XIV, 174 p  |b online resource 
505 0 |a 1 Motivation -- 1 Motivation -- I Logics -- 2 Model Generation -- 3 Higher-Order Model Generation -- 4 Minimal Model Generation -- II Linguistics -- 5 The Analysis of Definites -- 6 Reciprocity -- 7 Abduction -- 8 Implementation -- 9 Conclusion -- A Some Example Problems -- References and Index 
653 |a Computer science 
653 |a Computer Science 
653 |a Artificial Intelligence 
653 |a Formal Languages and Automata Theory 
653 |a Machine theory 
653 |a Artificial intelligence 
653 |a Natural Language Processing (NLP) 
653 |a Natural language processing (Computer science) 
041 0 7 |a eng  |2 ISO 639-2 
989 |b SBA  |a Springer Book Archives -2004 
490 0 |a Lecture Notes in Artificial Intelligence 
028 5 0 |a 10.1007/b95744 
856 4 0 |u https://doi.org/10.1007/b95744?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 006.35 
520 |a 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