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Vector semantics

Kornai, Andras.

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Vector semantics

Record Type:	Electronic resources : Monograph/item
Title/Author:	Vector semantics/ by Andras Kornai.
Author:	Kornai, Andras.
Published:	Singapore :Springer Nature Singapore : : 2023.,
Description:	xvi, 273 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1.Foundations of non-compositionality -- Chapter 2. From morphology to syntax -- Chapter 3.Time and space -- Chapter 4. Negation -- Chapter 5.Valuations and learnability -- Chapter 6.Modality -- Chapter 7.Adjectives, gradience, implicature -- Chapter 8.Trainability and real-world knowledge -- Chapter 9. Applications.
Contained By:	Springer Nature eBook
Subject:	Cognitive grammar. -
Online resource:	https://doi.org/10.1007/978-981-19-5607-2
ISBN:	9789811956072

Vector semantics
Kornai, Andras.

Vector semantics[electronic resource] /by Andras Kornai. - Singapore :Springer Nature Singapore :2023. - xvi, 273 p. :ill., digital ;24 cm. - Cognitive technologies,2197-6635. - Cognitive technologies..

Chapter 1.Foundations of non-compositionality -- Chapter 2. From morphology to syntax -- Chapter 3.Time and space -- Chapter 4. Negation -- Chapter 5.Valuations and learnability -- Chapter 6.Modality -- Chapter 7.Adjectives, gradience, implicature -- Chapter 8.Trainability and real-world knowledge -- Chapter 9. Applications.

Open access.

This open access book introduces Vector semantics, which links the formal theory of word vectors to the cognitive theory of linguistics. The computational linguists and deep learning researchers who developed word vectors have relied primarily on the ever-increasing availability of large corpora and of computers with highly parallel GPU and TPU compute engines, and their focus is with endowing computers with natural language capabilities for practical applications such as machine translation or question answering. Cognitive linguists investigate natural language from the perspective of human cognition, the relation between language and thought, and questions about conceptual universals, relying primarily on in-depth investigation of language in use. In spite of the fact that these two schools both have 'linguistics' in their name, so far there has been very limited communication between them, as their historical origins, data collection methods, and conceptual apparatuses are quite different. Vector semantics bridges the gap by presenting a formal theory, cast in terms of linear polytopes, that generalizes both word vectors and conceptual structures, by treating each dictionary definition as an equation, and the entire lexicon as a set of equations mutually constraining all meanings.

ISBN: 9789811956072

Standard No.: 10.1007/978-981-19-5607-2doiSubjects--Topical Terms:

585114
Cognitive grammar.

LC Class. No.: P165 / .K67 2023

Dewey Class. No.: 415

Vector semantics
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245 1 0 $a Vector semantics $h [electronic resource] / $c by Andras Kornai.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2023.
300 $a xvi, 273 p. : $b ill., digital ; $c 24 cm.
490 1 $a Cognitive technologies, $x 2197-6635
505 0 $a Chapter 1.Foundations of non-compositionality -- Chapter 2. From morphology to syntax -- Chapter 3.Time and space -- Chapter 4. Negation -- Chapter 5.Valuations and learnability -- Chapter 6.Modality -- Chapter 7.Adjectives, gradience, implicature -- Chapter 8.Trainability and real-world knowledge -- Chapter 9. Applications.
506 $a Open access.
520 $a This open access book introduces Vector semantics, which links the formal theory of word vectors to the cognitive theory of linguistics. The computational linguists and deep learning researchers who developed word vectors have relied primarily on the ever-increasing availability of large corpora and of computers with highly parallel GPU and TPU compute engines, and their focus is with endowing computers with natural language capabilities for practical applications such as machine translation or question answering. Cognitive linguists investigate natural language from the perspective of human cognition, the relation between language and thought, and questions about conceptual universals, relying primarily on in-depth investigation of language in use. In spite of the fact that these two schools both have 'linguistics' in their name, so far there has been very limited communication between them, as their historical origins, data collection methods, and conceptual apparatuses are quite different. Vector semantics bridges the gap by presenting a formal theory, cast in terms of linear polytopes, that generalizes both word vectors and conceptual structures, by treating each dictionary definition as an equation, and the entire lexicon as a set of equations mutually constraining all meanings.
650 0 $a Cognitive grammar. $3 585114
650 0 $a Semantics. $3 520060
650 1 4 $a Natural Language Processing (NLP) $3 3381674
650 2 4 $a Computational Linguistics. $3 893900
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Knowledge Based Systems. $3 3538738
650 2 4 $a Digital Humanities. $3 3134775
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