rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Model Generation for Natural Language Interpretation and Analysis
  name:
    name part: Konrad, Karsten.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2004
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 174 p. online resource.
  abstract: 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.
  table of contents: 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.
  note: by Karsten Konrad.
  subject:
    topic: Computer science
  subject:
    topic: Mathematical logic
  subject:
    topic: Artificial intelligence
  subject:
    topic: Text processing (Computer science)
  subject:
    topic: Computational linguistics
  subject:
    topic: Computer Science
  subject:
    topic: Language Translation and Linguistics
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Computer Science, general
  subject:
    topic: Mathematical Logic and Formal Languages
  subject:
    topic: Document Preparation and Text Processing
  classification: P98-98.5
  classification: 006.35
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Computer Science, 2953
  identifier: 9783540246404
  identifier: http://dx.doi.org/10.1007/b95744
  record info:
    record creation date: 121227
    record change date: 20151204183050.0
    record identifier: 978-3-540-24640-4