Lexical Semantics and Knowledge Representation in Multilingual Text Generation / Edition 1

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Overview

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.
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Editorial Reviews

Booknews
Presents a new systematic approach to linking lexical semantics and knowledge representation to deal with issues arising when formally represented knowledge is translated into a natural language. Takes the choice of words to cover the various parts of the content representation as the principal decisions for conveying the intended meaning. Emphasizing events and verb meaning, develops a method for deriving a set of paraphrases from the same underlying representation, and uses that mapping mechanism to general English and German output, based on an adequate division between lexical language-neutral and grammatical language-specific knowledge. Annotation c. Book News, Inc., Portland, OR (booknew.com)
From the Publisher
'I recommend the book not only to researchers interested in text generation and in machine translation, but to everybody interested in the relationship between language-independent knowledge representation and language-specific ontologies... Stede's specific proposal is well defined and effective.'
Computational Linguistics, 26:2
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Product Details

Table of Contents

List of Figures
List of Tables
Preface
Acknowledgments
1 Introduction 1
2 Lexicalization in NLG 9
3 Classifying Lexical Variation 33
4 Modelling the Domain 43
5 Levels of Representation: SitSpec and SemSpec 65
6 Representing the Meaning of Words 85
7 Verb Alternations and Extensions 121
8 A System Architecture for Multilingual Generation 141
9 Generating Paraphrases 163
10 From Sentences to Text 181
11 Summary and Conclusions 193
References 209
Index 217
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