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008			220601s2021 sz | s |||| 0|eng d
020			_a9783031021770
024	7		_a10.1007/978-3-031-02177-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.N38 _b2021 EB
100	1		_aPilehvar, Mohammad Taher _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687449
245	1	0	_aEmbeddings in Natural Language Processing : _bTheory and Advances in Vector Representations of Meaning _cby Mohammad Taher Pilehvar, Jose Camacho-Collados
250			_a1st edition 2021
264		1	_aCham _bSpringer International Publishing _c2021
300			_a1 recurso en línea (XVIII, 157 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Human Language Technologies _x1947-4059
505	0		_aPreface -- Introduction -- Background -- Word Embeddings -- Graph Embeddings -- Sense Embeddings -- Contextualized Embeddings -- Sentence and Document Embeddings -- Ethics and Bias -- Conclusions -- Bibliography -- Authors' Biographies.
520			_aEmbeddings have undoubtedly been one of the most influential research areas in Natural Language Processing (NLP). Encoding information into a low-dimensional vector representation, which is easily integrable in modern machine learning models, has played a central role in the development of NLP. Embedding techniques initially focused on words, but the attention soon started to shift to other forms: from graph structures, such as knowledge bases, to other types of textual content, such as sentences and documents. This book provides a high-level synthesis of the main embedding techniques in NLP, in the broad sense. The book starts by explaining conventional word vector space models and word embeddings (e.g., Word2Vec and GloVe) and then moves to other types of embeddings, such as word sense, sentence and document, and graph embeddings. The book also provides an overview of recent developments in contextualized representations (e.g., ELMo and BERT) and explains their potential in NLP. Throughout the book, the reader can find both essential information for understanding a certain topic from scratch and a broad overview of the most successful techniques developed in the literature.
988			_aSynthesis Collection of Technology_2021
650		7	_2embne _9158738 _aProceso en lenguaje natural (Informática)
650		7	_2embne _9678605 _aLenguajes de programación _xSemántica
650		7	_2embne _aInteligencia artificial _9413115
700	1		_aCamacho-Collados, Jose _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687450
776	0	8	_iPrinted edition: _z9783031001888
776	0	8	_iPrinted edition: _z9783031010491
776	0	8	_iPrinted edition: _z9783031033056
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02177-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2023 _dz _esc _zSI