Naive Semantics for Natural Language Understanding:
This book introduces a theory, Naive Semantics (NS), a theory of the knowledge underlying natural language understanding. The basic assumption of NS is that knowing what a word means is not very different from knowing anything else, so that there is no difference in form of cognitive representation...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
1988
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| Schriftenreihe: | The Kluwer International Series in Engineering and Computer Science, Natural Language Processing and Machine Translation
58 |
| Schlagworte: | |
| Online-Zugang: | BTU01 Volltext |
| Zusammenfassung: | This book introduces a theory, Naive Semantics (NS), a theory of the knowledge underlying natural language understanding. The basic assumption of NS is that knowing what a word means is not very different from knowing anything else, so that there is no difference in form of cognitive representation between lexical semantics and ency clopedic knowledge. NS represents word meanings as commonsense knowledge, and builds no special representation language (other than elements of first-order logic). The idea of teaching computers common sense knowledge originated with McCarthy and Hayes (1969), and has been extended by a number of researchers (Hobbs and Moore, 1985, Lenat et aI, 1986). Commonsense knowledge is a set of naive beliefs, at times vague and inaccurate, about the way the world is structured. Traditionally, word meanings have been viewed as criterial, as giving truth conditions for membership in the classes words name. The theory of NS, in identifying word meanings with commonsense knowledge, sees word meanings as typical descriptions of classes of objects, rather than as criterial descriptions. Therefore, reasoning with NS represen tations is probabilistic rather than monotonic. This book is divided into two parts. Part I elaborates the theory of Naive Semantics. Chapter 1 illustrates and justifies the theory. Chapter 2 details the representation of nouns in the theory, and Chapter 4 the verbs, originally published as "Commonsense Reasoning with Verbs" (McDowell and Dahlgren, 1987). Chapter 3 describes kind types, which are naive constraints on noun representations |
| Beschreibung: | 1 Online-Ressource (X, 258 p) |
| ISBN: | 9781461310754 |
| DOI: | 10.1007/978-1-4613-1075-4 |
Internformat
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Datensatz im Suchindex
| _version_ | 1804178875093090304 |
|---|---|
| any_adam_object | |
| author | Dahlgren, Kathleen |
| author_facet | Dahlgren, Kathleen |
| author_role | aut |
| author_sort | Dahlgren, Kathleen |
| author_variant | k d kd |
| building | Verbundindex |
| bvnumber | BV045185331 |
| collection | ZDB-2-ENG |
| ctrlnum | (ZDB-2-ENG)978-1-4613-1075-4 (OCoLC)1184305190 (DE-599)BVBBV045185331 |
| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| doi_str_mv | 10.1007/978-1-4613-1075-4 |
| format | Electronic eBook |
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| id | DE-604.BV045185331 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:55Z |
| institution | BVB |
| isbn | 9781461310754 |
| language | English |
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| publishDate | 1988 |
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| series2 | The Kluwer International Series in Engineering and Computer Science, Natural Language Processing and Machine Translation |
| spelling | Dahlgren, Kathleen Verfasser aut Naive Semantics for Natural Language Understanding by Kathleen Dahlgren Boston, MA Springer US 1988 1 Online-Ressource (X, 258 p) txt rdacontent c rdamedia cr rdacarrier The Kluwer International Series in Engineering and Computer Science, Natural Language Processing and Machine Translation 58 This book introduces a theory, Naive Semantics (NS), a theory of the knowledge underlying natural language understanding. The basic assumption of NS is that knowing what a word means is not very different from knowing anything else, so that there is no difference in form of cognitive representation between lexical semantics and ency clopedic knowledge. NS represents word meanings as commonsense knowledge, and builds no special representation language (other than elements of first-order logic). The idea of teaching computers common sense knowledge originated with McCarthy and Hayes (1969), and has been extended by a number of researchers (Hobbs and Moore, 1985, Lenat et aI, 1986). Commonsense knowledge is a set of naive beliefs, at times vague and inaccurate, about the way the world is structured. Traditionally, word meanings have been viewed as criterial, as giving truth conditions for membership in the classes words name. The theory of NS, in identifying word meanings with commonsense knowledge, sees word meanings as typical descriptions of classes of objects, rather than as criterial descriptions. Therefore, reasoning with NS represen tations is probabilistic rather than monotonic. This book is divided into two parts. Part I elaborates the theory of Naive Semantics. Chapter 1 illustrates and justifies the theory. Chapter 2 details the representation of nouns in the theory, and Chapter 4 the verbs, originally published as "Commonsense Reasoning with Verbs" (McDowell and Dahlgren, 1987). Chapter 3 describes kind types, which are naive constraints on noun representations Computer Science Artificial Intelligence (incl. Robotics) Computational Linguistics Language Translation and Linguistics Semantics Computer science Artificial intelligence Computational linguistics Semantik (DE-588)4054490-4 gnd rswk-swf Sprachverarbeitung (DE-588)4116579-2 gnd rswk-swf Computerlinguistik (DE-588)4035843-4 gnd rswk-swf Semantik (DE-588)4054490-4 s Computerlinguistik (DE-588)4035843-4 s 1\p DE-604 Sprachverarbeitung (DE-588)4116579-2 s 2\p DE-604 Erscheint auch als Druck-Ausgabe 9781461284154 https://doi.org/10.1007/978-1-4613-1075-4 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Dahlgren, Kathleen Naive Semantics for Natural Language Understanding Computer Science Artificial Intelligence (incl. Robotics) Computational Linguistics Language Translation and Linguistics Semantics Computer science Artificial intelligence Computational linguistics Semantik (DE-588)4054490-4 gnd Sprachverarbeitung (DE-588)4116579-2 gnd Computerlinguistik (DE-588)4035843-4 gnd |
| subject_GND | (DE-588)4054490-4 (DE-588)4116579-2 (DE-588)4035843-4 |
| title | Naive Semantics for Natural Language Understanding |
| title_auth | Naive Semantics for Natural Language Understanding |
| title_exact_search | Naive Semantics for Natural Language Understanding |
| title_full | Naive Semantics for Natural Language Understanding by Kathleen Dahlgren |
| title_fullStr | Naive Semantics for Natural Language Understanding by Kathleen Dahlgren |
| title_full_unstemmed | Naive Semantics for Natural Language Understanding by Kathleen Dahlgren |
| title_short | Naive Semantics for Natural Language Understanding |
| title_sort | naive semantics for natural language understanding |
| topic | Computer Science Artificial Intelligence (incl. Robotics) Computational Linguistics Language Translation and Linguistics Semantics Computer science Artificial intelligence Computational linguistics Semantik (DE-588)4054490-4 gnd Sprachverarbeitung (DE-588)4116579-2 gnd Computerlinguistik (DE-588)4035843-4 gnd |
| topic_facet | Computer Science Artificial Intelligence (incl. Robotics) Computational Linguistics Language Translation and Linguistics Semantics Computer science Artificial intelligence Computational linguistics Semantik Sprachverarbeitung Computerlinguistik |
| url | https://doi.org/10.1007/978-1-4613-1075-4 |
| work_keys_str_mv | AT dahlgrenkathleen naivesemanticsfornaturallanguageunderstanding |