000 03102nam a2200385 i 4500
999 _c397916
_d397916
_x1
001 397916
003 ES-MaUEC
005 20240314174447.0
006 a|||| o|||| 00| 0
007 cr nn 008mamaa
008 221206s2023 si | o |||| 0|eng d
020 _a9789811956072
024 7 _a10.1007/978-981-19-5607-2
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQA76.9 .N38
_b2023 EB
100 1 _aKornai, András
_d1957-
_eautor
_0(orcid)0000-0001-6078-6840
_1https://orcid.org/0000-0001-6078-6840
_4http://id.loc.gov/vocabulary/relators/aut
_9689422
245 1 0 _aVector Semantics
_cby András Kornai
250 _a1st ed 2023
264 1 _aSingapore
_bSpringer Nature
_c2023
300 _a1 recurso en línea
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 0 _aCognitive Technologies
_x2197-6635
505 0 _aChapter 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.
520 _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. .
988 _aSpringer_Computer_2023
650 7 _2embne
_9158738
_aProceso en lenguaje natural (Informática)
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-5607-2
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b01/2024
_dz
_eb
_zSI