Annotation-based semantics for space and time in language
Space and time representation in language is important in linguistics and cognitive science research, as well as artificial intelligence applications like conversational robots and navigation systems. This book is the first for linguists and computer scientists that shows how to do model-theoretic s...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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Cambridge, United Kingdom ; New York, NY
Cambridge University Press
2023
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| Schriftenreihe: | Studies in natural language processing
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| Schlagworte: | |
| Online-Zugang: | DE-12 DE-634 DE-92 DE-473 URL des Erstveröffentlichers |
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| 245 | 1 | 0 | |a Annotation-based semantics for space and time in language |c Kiyong Lee, Korea University ; with foreword by James Pustejovsky, Brandeis University |
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| 520 | |a Space and time representation in language is important in linguistics and cognitive science research, as well as artificial intelligence applications like conversational robots and navigation systems. This book is the first for linguists and computer scientists that shows how to do model-theoretic semantics for temporal or spatial information in natural language, based on annotation structures. The book covers the entire cycle of developing a specification for annotation and the implementation of the model over the appropriate corpus for linguistic annotation. Its representation language is a type-theoretic, first-order logic in shallow semantics. Each interpretation model is delimited by a set of definitions of logical predicates used in semantic representations (e.g., past) or measuring expressions (e.g., counts or k). The counting function is then defined as a set and its cardinality, involving a universal quantification in a model. This definition then delineates a set of admissible models for interpretation | ||
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| illustrated | Not Illustrated |
| index_date | 2024-09-19T15:57:26Z |
| indexdate | 2024-09-27T17:03:59Z |
| institution | BVB |
| isbn | 9781108884532 |
| language | English |
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| physical | 1 Online-Ressource (xxv, 467 Seiten) |
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| publishDate | 2023 |
| publishDateSearch | 2023 |
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| publisher | Cambridge University Press |
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| series2 | Studies in natural language processing |
| spellingShingle | Yi, Ki-yong Annotation-based semantics for space and time in language Semantics / Data processing Space and time in language Computational linguistics Annotation (DE-588)4560829-5 gnd Computerlinguistik (DE-588)4035843-4 gnd |
| subject_GND | (DE-588)4560829-5 (DE-588)4035843-4 |
| title | Annotation-based semantics for space and time in language |
| title_auth | Annotation-based semantics for space and time in language |
| title_exact_search | Annotation-based semantics for space and time in language |
| title_exact_search_txtP | Annotation-based semantics for space and time in language |
| title_full | Annotation-based semantics for space and time in language Kiyong Lee, Korea University ; with foreword by James Pustejovsky, Brandeis University |
| title_fullStr | Annotation-based semantics for space and time in language Kiyong Lee, Korea University ; with foreword by James Pustejovsky, Brandeis University |
| title_full_unstemmed | Annotation-based semantics for space and time in language Kiyong Lee, Korea University ; with foreword by James Pustejovsky, Brandeis University |
| title_short | Annotation-based semantics for space and time in language |
| title_sort | annotation based semantics for space and time in language |
| topic | Semantics / Data processing Space and time in language Computational linguistics Annotation (DE-588)4560829-5 gnd Computerlinguistik (DE-588)4035843-4 gnd |
| topic_facet | Semantics / Data processing Space and time in language Computational linguistics Annotation Computerlinguistik |
| url | https://doi.org/10.1017/9781108884532 |
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