978-981-19-5607-2.pdf

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...

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Γλώσσα:English
Έκδοση: Springer Nature 2022
Διαθέσιμο Online:https://link.springer.com/978-981-19-5607-2
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spelling oapen-20.500.12657-601912024-03-27T14:14:53Z Vector Semantics Kornai, András Semantics Natural Language Processing Computational Linguistics Artificial Intelligence explainable AI Artificial Neural Nets lexical semantics word vectors embeddings dynamic embeddings algebraic semantic knowledge bases machine learning thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQL Natural language and machine translation thema EDItEUR::C Language and Linguistics::CF Linguistics::CFX Computational and corpus linguistics thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems thema EDItEUR::D Biography, Literature and Literary studies::D Biography, Literature and Literary studies::DS Literature: history and criticism 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. 2022-12-13T12:40:53Z 2022-12-13T12:40:53Z 2023 book ONIX_20221213_9789811956072_45 9789811956072 https://library.oapen.org/handle/20.500.12657/60191 eng Cognitive Technologies application/pdf n/a 978-981-19-5607-2.pdf https://link.springer.com/978-981-19-5607-2 Springer Nature Springer 10.1007/978-981-19-5607-2 10.1007/978-981-19-5607-2 6c6992af-b843-4f46-859c-f6e9998e40d5 a25a7f19-e1cd-4fa4-b6eb-9486269117a4 9789811956072 Springer 273 Singapore [...] open access
institution OAPEN
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language English
description 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.
title 978-981-19-5607-2.pdf
spellingShingle 978-981-19-5607-2.pdf
title_short 978-981-19-5607-2.pdf
title_full 978-981-19-5607-2.pdf
title_fullStr 978-981-19-5607-2.pdf
title_full_unstemmed 978-981-19-5607-2.pdf
title_sort 978-981-19-5607-2.pdf
publisher Springer Nature
publishDate 2022
url https://link.springer.com/978-981-19-5607-2
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