LEADER 03453nam 22007093 450 001 996547960303316 005 20231110234643.0 035 $a(CKB)5590000001022472 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/94964 035 $a(MiAaPQ)EBC7152962 035 $a(Au-PeEL)EBL7152962 035 $a(OCoLC)1369663900 035 $a(EXLCZ)995590000001022472 100 $a20230317d2022 uy 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aVector Semantics 205 $a1st ed. 210 1$aSingapore :$cSpringer,$d2022. 210 4$d©2023. 215 $a1 electronic resource (273 p.) 225 1 $aCognitive Technologies 311 $a981-19-5606-5 311 $a981-19-5607-3 330 $aThis open access book introduces Vector semantics, which links the formal theory of word vectors to the cognitive theory of linguistics. The computational linguists and deep learning researchers who developed word vectors have relied primarily on the ever-increasing availability of large corpora and of computers with highly parallel GPU and TPU compute engines, and their focus is with endowing computers with natural language capabilities for practical applications such as machine translation or question answering. Cognitive linguists investigate natural language from the perspective of human cognition, the relation between language and thought, and questions about conceptual universals, relying primarily on in-depth investigation of language in use. In spite of the fact that these two schools both have ?linguistics? in their name, so far there has been very limited communication between them, as their historical origins, data collection methods, and conceptual apparatuses are quite different. Vector semantics bridges the gap by presenting a formal theory, cast in terms of linear polytopes, that generalizes both word vectors and conceptual structures, by treating each dictionary definition as an equation, and the entire lexicon as a set of equations mutually constraining all meanings. 410 0$aCognitive Technologies 606 $aNatural language & machine translation$2bicssc 606 $aComputational linguistics$2bicssc 606 $aArtificial intelligence$2bicssc 606 $aMachine learning$2bicssc 606 $aExpert systems / knowledge-based systems$2bicssc 606 $aLiterature: history & criticism$2bicssc 610 $aSemantics 610 $aNatural Language Processing 610 $aComputational Linguistics 610 $aArtificial Intelligence 610 $aexplainable AI 610 $aArtificial Neural Nets 610 $alexical semantics 610 $aword vectors 610 $aembeddings 610 $adynamic embeddings 610 $aalgebraic semantic 610 $aknowledge bases 610 $amachine learning 615 7$aNatural language & machine translation 615 7$aComputational linguistics 615 7$aArtificial intelligence 615 7$aMachine learning 615 7$aExpert systems / knowledge-based systems 615 7$aLiterature: history & criticism 700 $aKornai$b András$0972178 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996547960303316 996 $aVector Semantics$93034547 997 $aUNISA