Lexical semantics and knowledge representation in multilingual text generation
By: by Manfred Stede.
Series: The Kluwer international series in engineering and computer science ;; SECS 492
Publisher: Kluwer Academic Publishers
Published: 1999
Place of publication: Boston
Language: eng
Number of pages: 219
Subjects: Computational linguistics; Semantics -- Data processing; Knowledge representation (Information theory)
Description: In knowledge-based natural language generation, issues of formal knowledge representation meet with the linguistic problems of choosing the most appropriate verbalization in a particular situation of utterance. Lexical Semantics and Knowledge Representation in Multilingual Text Generation presents a new approach to systematically linking the realms of lexical semantics and knowledge represented in a description logic. For language generation from such abstract representations, lexicalization is taken as the central step: when choosing words that cover the various parts of the content representation, the principal decisions on conveying the intended meaning are made. A preference mechanism is used to construct the utterance that is best tailored to parameters representing the context.

Readers with a background in artificial intelligence, cognitive science, knowledge representation, linguistics, or natural language processing will find a model of language production that can be adapted to a variety of purposes.
Notes: Includes bibliographical references (p. [209]-216) and index.