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007			cr nn 008mamaa
008			150506s2015 gw | s |||| 0|eng d
020			_a9783319155630
024	7		_a10.1007/978-3-319-15563-0 _2doi
040			_bspa _dES-MaUEC
050		4	_aQA76.9.N38 _bR637 2015 EB
100	1		_aRodrigues, Mário. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/34459928/
245	1	0	_aAdvanced Applications of Natural Language Processing for Performing Information Extraction _cby Mário Rodrigues, António Teixeira.
264		1	_aCham _bSpringer International Publishing _c2015
300			_a1 recurso en línea (VIII, 75 páginas 20 ilustraciones, 9 ilustraciones a color.)
336			_2rdacontent _aTexto (visual) _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
490	0		_aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning, _x2191-737X
490	0		_aEngineering (Springer-11647)
505	0		_aIntroduction -- Data Gathering, Preparation and Enrichment -- Identifying things, relations, and semantizing data -- Extracting Relevant Information Using a Given Semantic -- Application Examples -- Conclusion.
520	3		_aThis book explains how can be created information extraction (IE) applications that are able to tap the vast amount of relevant information available in natural language sources: Internet pages, official documents such as laws and regulations, books and newspapers, and social web. Readers are introduced to the problem of IE and its current challenges and limitations, supported with examples. The book discusses the need to fill the gap between documents, data, and people, and provides a broad overview of the technology supporting IE. The authors present a generic architecture for developing systems that are able to learn how to extract relevant information from natural language documents, and illustrate how to implement working systems using state-of-the-art and freely available software tools. The book also discusses concrete applications illustrating IE uses.   ·         Provides an overview of state-of-the-art technology in information extraction (IE), discussing achievements and limitations for the software developer and providing references for specialized literature in the area ·         Presents a comprehensive list of freely available, high quality software for several subtasks of IE and for several natural languages ·         Describes a generic architecture that can learn how to extract information for a given application domain.
988			_aEBSPRINGER_2018
650		7	_aProceso en lenguaje natural (Informática) _2embne _9158738
700	1		_aTeixeira, António. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/n2003062739 _1http://viaf.org/viaf/71432325/
776	0	8	_iEdición impresa: _z9783319155647
776	0	8	_iEdición impresa: _z9783319155623
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-15563-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2019 _dz _eIG _zSI