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Linguistic Expressions and Semantic Processing A Practical Approach /

This book introduces formal semantics techniques for a natural language processing audience. Methods discussed involve: (i) the denotational techniques used in model-theoretic semantics, which make it possible to determine whether a linguistic expression is true or false with respect to some model o...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Butler, Alastair (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Temas:
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Linguistic Expressions and Semantic Processing  |h [electronic resource] :  |b A Practical Approach /  |c by Alastair Butler. 
250 |a 1st ed. 2015. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2015. 
300 |a VIII, 172 p. 4 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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505 0 |a Preface -- 1.Predicate Languages -- 2.Self-selective Evaluation -- 3.Self-locating Evaluation -- 4.Treebank Annotation -- Appendix: A Standard ML Introduction -- Index. 
520 |a This book introduces formal semantics techniques for a natural language processing audience. Methods discussed involve: (i) the denotational techniques used in model-theoretic semantics, which make it possible to determine whether a linguistic expression is true or false with respect to some model of the way things happen to be; and (ii) stages of interpretation, i.e., ways to arrive at meanings by evaluating and converting source linguistic expressions, possibly with respect to contexts, into output (logical) forms that could be used with (i). The book demonstrates that the methods allow wide coverage without compromising the quality of semantic analysis. Access to unrestricted, robust and accurate semantic analysis is widely regarded as an essential component for improving natural language processing tasks, such as: recognizing textual entailment, information extraction, summarization, automatic reply, and machine translation. 
650 0 |a Natural language processing (Computer science). 
650 0 |a Computational linguistics. 
650 0 |a Machine theory. 
650 0 |a Semiotics. 
650 0 |a Linguistics. 
650 1 4 |a Natural Language Processing (NLP). 
650 2 4 |a Computational Linguistics. 
650 2 4 |a Formal Languages and Automata Theory. 
650 2 4 |a Semiotics. 
650 2 4 |a Theoretical Linguistics / Grammar. 
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