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008			220601s2016 sz | s |||| 0|eng d
020			_a9783031021626
024	7		_a10.1007/978-3-031-02162-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.N38 _b2016
100	1		_aGurevych, Iryna _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687402
245	1	0	_aLinked Lexical Knowledge Bases : _bFoundations and Applications _cby Iryna Gurevych, Judith Eckle-Kohler, Michael Matuschek
250			_a1st edition 2016
264		1	_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (XXI, 124 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		_aForeword -- Preface -- Acknowledgments -- Lexical Knowledge Bases -- Linked Lexical Knowledge Bases -- Linking Algorithms -- Fundamental Disambiguation Methods -- Advanced Disambiguation Methods -- Multilingual Applications -- Interfaces and Tools -- Conclusion and Outlook -- Acronyms -- Bibliography -- Authors' Biographies .
520			_aThis book conveys the fundamentals of Linked Lexical Knowledge Bases (LLKB) and sheds light on their different aspects from various perspectives, focusing on their construction and use in natural language processing (NLP). It characterizes a wide range of both expert-based and collaboratively constructed lexical knowledge bases. Only basic familiarity with NLP is required and this book has been written for both students and researchers in NLP and related fields who are interested in knowledge-based approaches to language analysis and their applications. Lexical Knowledge Bases (LKBs) are indispensable in many areas of natural language processing, as they encode human knowledge of language in machine readable form, and as such, they are required as a reference when machines attempt to interpret natural language in accordance with human perception. In recent years, numerous research efforts have led to the insight that to make the best use of available knowledge, the orchestrated exploitation of different LKBs is necessary. This allows us to not only extend the range of covered words and senses, but also gives us the opportunity to obtain a richer knowledge representation when a particular meaning of a word is covered in more than one resource. Examples where such an orchestrated usage of LKBs proved beneficial include word sense disambiguation, semantic role labeling, semantic parsing, and text classification. This book presents different kinds of automatic, manual, and collaborative linkings between LKBs. A special chapter is devoted to the linking algorithms employing text-based, graph-based, and joint modeling methods. Following this, it presents a set of higher-level NLP tasks and algorithms, effectively utilizing the knowledge in LLKBs. Among them, you will find advanced methods, e.g., distant supervision, or continuous vector space models of knowledge bases (KB), that have become widely used at the time of this book's writing. Finally, multilingual applications of LLKB's, such as cross-lingual semantic relatedness and computer-aided translation are discussed, as well as tools and interfaces for exploring LLKBs, followed by conclusions and future research directions.
988			_aSynthesis Collection of Technology_2016
650		7	_2embne _9506007 _aDatos enlazados
650		7	_2embne _9244840 _aLexicografía _xProceso de datos
650		7	_2embne _9141131 _aSistemas expertos (Informática)
700	1		_aEckle-Kohler, Judith _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687403
700	1		_aMatuschek, Michael _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687404
776	0	8	_iPrinted edition: _z9783031010347
776	0	8	_iPrinted edition: _z9783031032905
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02162-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2023 _dz _esc _zSI