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_c397916 _d397916 _x1 |
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| 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 |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQA76.9 .N38 _b2023 EB |
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| 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 |
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| 245 | 1 | 0 |
_aVector Semantics _cby András Kornai |
| 250 | _a1st ed 2023 | ||
| 264 | 1 |
_aSingapore _bSpringer Nature _c2023 |
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| 300 | _a1 recurso en línea | ||
| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 0 |
_aCognitive Technologies _x2197-6635 |
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| 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) |
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| 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 |
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| 998 |
_b01/2024 _dz _eb _zSI |
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