|
|
|
|
LEADER |
02306nmm a2200349 u 4500 |
001 |
EB001033660 |
003 |
EBX01000000000000000827182 |
005 |
00000000000000.0 |
007 |
cr||||||||||||||||||||| |
008 |
150601 ||| eng |
020 |
|
|
|a 9783319188300
|
100 |
1 |
|
|a Butler, Alastair
|
245 |
0 |
0 |
|a Linguistic Expressions and Semantic Processing
|h Elektronische Ressource
|b A Practical Approach
|c by Alastair Butler
|
250 |
|
|
|a 1st ed. 2015
|
260 |
|
|
|a Cham
|b Springer International Publishing
|c 2015, 2015
|
300 |
|
|
|a VIII, 172 p. 4 illus
|b online resource
|
505 |
0 |
|
|a Preface -- 1.Predicate Languages -- 2.Self-selective Evaluation -- 3.Self-locating Evaluation -- 4.Treebank Annotation -- Appendix: A Standard ML Introduction -- Index
|
653 |
|
|
|a Theoretical Linguistics / Grammar
|
653 |
|
|
|a Linguistics
|
653 |
|
|
|a Computational Linguistics
|
653 |
|
|
|a Formal Languages and Automata Theory
|
653 |
|
|
|a Machine theory
|
653 |
|
|
|a Computational linguistics
|
653 |
|
|
|a Semiotics
|
653 |
|
|
|a Natural Language Processing (NLP)
|
653 |
|
|
|a Natural language processing (Computer science)
|
041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
028 |
5 |
0 |
|a 10.1007/978-3-319-18830-0
|
856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-319-18830-0?nosfx=y
|x Verlag
|3 Volltext
|
082 |
0 |
|
|a 006.35
|
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
|