© 2004

Model Generation for Natural Language Interpretation and Analysis


Part of the Lecture Notes in Computer Science book series (LNCS, volume 2953)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 2953)

Table of contents

  1. Front Matter
  2. 1 Motivation

    1. Karsten Konrad
      Pages 1-6
  3. Part I Logics

    1. Front Matter
      Pages 7-7
    2. Karsten Konrad
      Pages 9-23
    3. Karsten Konrad
      Pages 25-53
    4. Karsten Konrad
      Pages 55-56
  4. Part II Linguistics

    1. Front Matter
      Pages 57-57
    2. Karsten Konrad
      Pages 59-78
    3. Karsten Konrad
      Pages 79-103
    4. Karsten Konrad
      Pages 105-123
    5. Karsten Konrad
      Pages 125-147
    6. Karsten Konrad
      Pages 149-153
    7. Karsten Konrad
      Pages 155-158
    8. Karsten Konrad
      Pages 159-165
  5. Back Matter

About this book


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.


NLP Processing computational linguistics first-order logic formal natural language semantics information technology linguistics model generation model theory natural language natural language interpretation natural language processing proving semantic web theorem proving

Authors and affiliations

  1. 1.XtraMind Technologies GmbHSaarbrückenGermany

Bibliographic information