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Linguistic Expressions and Semantic Processing [electronic resource] : A Practical Approach / by Alastair Butler.

By: Butler, Alastair [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Cham : Springer International Publishing : Imprint: Springer, 2015Description: VIII, 172 p. 4 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319188300.Subject(s): Computer science | Mathematical logic | Computational linguistics | Semantics | Linguistics | Computer Science | Language Translation and Linguistics | Computational Linguistics | Mathematical Logic and Formal Languages | Semantics | Theoretical LinguisticsAdditional physical formats: Printed edition:: No titleDDC classification: 006.35 Online resources: Click here to access online
Contents:
Preface -- 1.Predicate Languages -- 2.Self-selective Evaluation -- 3.Self-locating Evaluation -- 4.Treebank Annotation -- Appendix: A Standard ML Introduction -- Index.
In: Springer eBooksSummary: 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.
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Preface -- 1.Predicate Languages -- 2.Self-selective Evaluation -- 3.Self-locating Evaluation -- 4.Treebank Annotation -- Appendix: A Standard ML Introduction -- Index.

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.

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