Model Generation for Natural Language Interpretation and Analysis - Info and Reading Options
By Karsten Konrad
"Model Generation for Natural Language Interpretation and Analysis" was published by Springer London, Limited in 2004 - Berlin New York and the language of the book is English.
“Model Generation for Natural Language Interpretation and Analysis” Metadata:
- Title: ➤ Model Generation for Natural Language Interpretation and Analysis
- Author: Karsten Konrad
- Language: English
- Publisher: Springer London, Limited
- Publish Date: 2004
- Publish Location: Berlin New York
“Model Generation for Natural Language Interpretation and Analysis” Subjects and Themes:
- Subjects: ➤ Semantics - Computational linguistics - Data processing - LANGUAGE ARTS & DISCIPLINES - Linguistics - Analyse du langage naturel - Linguística computacional - Sémantique - Informatique - Linguagem natural - Generierung <Sprache> - Historical & Comparative - Linguistique informatique - Natürlichsprachiges System - Sprachverarbeitung - Natuurlijke-taalverwerking - Electronic books - Génération de modèles - Semântica de programação - Wissensrepräsentation - Automatisches Beweisverfahren - Linguistique computationnelle - Semantics, data processing
Edition Specifications:
- Pagination: xiv, 174
Edition Identifiers:
- The Open Library ID: OL37353602M - OL9279370W
- ISBN-13: 9783540246404
- All ISBNs: 9783540246404
AI-generated Review of “Model Generation for Natural Language Interpretation and Analysis”:
"Model Generation for Natural Language Interpretation and Analysis" Description:
Open Data:
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
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