Stede | Lexical Semantics and Knowledge Representation in Multilingual Text Generation | E-Book | www.sack.de
E-Book

E-Book, Englisch, Band 492, 219 Seiten, eBook

Reihe: The Springer International Series in Engineering and Computer Science

Stede Lexical Semantics and Knowledge Representation in Multilingual Text Generation


1999
ISBN: 978-1-4615-5179-9
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 492, 219 Seiten, eBook

Reihe: The Springer International Series in Engineering and Computer Science

ISBN: 978-1-4615-5179-9
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark



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. 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.
develops the means for systematically deriving a set of paraphrases from the same underlying representation with the emphasis on events and verb meaning. Furthermore, the same mapping mechanism is used to achieve multilingual generation: English and German output are produced in parallel, on the basis of an adequate division between language-neutral and language-specific (lexical and grammatical) knowledge.
provides detailed insights into designing the representations and organizing the generation process. 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.
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Zielgruppe


Research


Autoren/Hrsg.


Weitere Infos & Material


List of Figures. List of Tables.Preface. 1. Introduction. 2. Lexicalization in NLG. 3. Classifying Lexical Variation. 4. Modelling the Domain. 5. Levels of Representation: SITSPEC and SEMSPEC. 6. Representing the Meaning of Words. 7. Verb Alternations and Extensions. 8. A System Architecture for Multilingual Generation. 9. Generating Paraphrases. 10. From Sentences to Text. 11. Summary and Conclusions. References. Index.



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