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008			220601s2013 sz | s |||| 0|eng d
020			_a9783031021510
024	7		_a10.1007/978-3-031-02151-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aP98 _b2013 EB
100	1		_aDagan, Ido _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686330
245	1	0	_aRecognizing Textual Entailment : _bModels and Applications _cby Ido Dagan, Dan Roth, Fabio Zanzotto, Mark Sammons
250			_a1st edition 2013
264		1	_aCham _bSpringer International Publishing _c2013
300			_a1 recurso en línea (XX, 204 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		_aList of Figures -- List of Tables -- Preface -- Acknowledgments -- Textual Entailment -- Architectures and Approaches -- Alignment, Classification, and Learning -- Case Studies -- Knowledge Acquisition for Textual Entailment -- Research Directions in RTE -- Bibliography -- Authors' Biographies.
520			_aIn the last few years, a number of NLP researchers have developed and participated in the task of Recognizing Textual Entailment (RTE). This task encapsulates Natural Language Understanding capabilities within a very simple interface: recognizing when the meaning of a text snippet is contained in the meaning of a second piece of text. This simple abstraction of an exceedingly complex problem has broad appeal partly because it can be conceived also as a component in other NLP applications, from Machine Translation to Semantic Search to Information Extraction. It also avoids commitment to any specific meaning representation and reasoning framework, broadening its appeal within the research community. This level of abstraction also facilitates evaluation, a crucial component of any technological advancement program. This book explains the RTE task formulation adopted by the NLP research community, and gives a clear overview of research in this area. It draws out commonalities in this research, detailing the intuitions behind dominant approaches and their theoretical underpinnings. This book has been written with a wide audience in mind, but is intended to inform all readers about the state of the art in this fascinating field, to give a clear understanding of the principles underlying RTE research to date, and to highlight the short- and long-term research goals that will advance this technology.
988			_aSynthesis Collection of Technology_2013
650		7	_2embne _9158738 _aProceso en lenguaje natural (Informática)
650		7	_2embne _9666075 _aLingüística computacional
650		7	_2embne _9156443 _aAnálisis lingüístico
700	1		_aRoth, Dan _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686331
700	1		_aZanzotto, Fabio Massimo _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686332
700	1		_aSammons, Mark _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686333
776	0	8	_iPrinted edition: _z9783031010231
776	0	8	_iPrinted edition: _z9783031032790
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02151-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2023 _dz _esc _zSI