Paper: Recognition Of Abstract Objects - A Decision Theory Approach Within Natural Language Processing

ACL ID C82-1026
Title Recognition Of Abstract Objects - A Decision Theory Approach Within Natural Language Processing
Venue International Conference on Computational Linguistics
Session Main Conference
Year 1982
Authors
  • Gerhard Knorz (Darmstadt University of Technology, Darmstadt Germany)

OBJECTS - A DECISION THEORY APPROACH WITHIN NATURAL LANGUAGE PROCESSING Gerhard Knorz Fachbereich Informatik,- FG Datenverwaltungssysteme II Technische Hochschule Darmstadt Karolinenplatz 5 D-6100 Darmstadt W-Germany The DAISY/ALIBABA-system developed within the WAl-project represents both a specific solution to the automatic indexing problem and a general framework for problems in the field of natural language processing, characterized by fuzziness and uncertainty• The WAI approach to the indexing problem has already been published [3], [5]. This paper however presents the under- lying paradigm of recognizing abstract objects. The basic concepts are described, including the decision theory approach used for recognition. 1 THE "WAI" AND THE "AIR" PROJECT 1 The DAISY/ALIBABA system [1], [...