000			02932nam a22003375i 4500
001			102764
003			DE-He213
005			20230102113058.0
007			cr nn 008mamaa
008			180228s2018 gw | s |||| 0|eng d
020			_a9783319740546
024	7		_a10.1007/978-3-319-74054-6 _2doi
050		4	_aQ342 EB
100	1		_aGelbukh, Alexander _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/117279824/
245	1	0	_aAutomatic Syntactic Analysis Based on Selectional Preferences _cby Alexander Gelbukh, Hiram Calvo.
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (VIII, 165 páginas)
347			_atext file _bPDF
490	0		_aStudies in Computational Intelligence _x1860-949X _v765
505	0		_aIntroduction -- First approach: sentence analysis using rewriting rules -- Second approach: constituent grammars -- Third approach: dependency trees -- Evaluation of the dependency parser -- Applications -- Prepositional phrase attachment disambiguation -- The unsupervised approach: grammar induction -- Multiple argument handling -- The need for full co-occurrence.
520	3		_aThis book describes effective methods for automatically analyzing a sentence, based on the syntactic and semantic characteristics of the elements that form it. To tackle ambiguities, the authors use selectional preferences (SP), which measure how well two words fit together semantically in a sentence. Today, many disciplines require automatic text analysis based on the syntactic and semantic characteristics of language and as such several techniques for parsing sentences have been proposed. Which is better? In this book the authors begin with simple heuristics before moving on to more complex methods that identify nouns and verbs and then aggregate modifiers, and lastly discuss methods that can handle complex subordinate and relative clauses. During this process, several ambiguities arise. SP are commonly determined on the basis of the association between a pair of words. However, in many cases, SP depend on more words. For example, something (such as grass) may be edible, depending on who is eating it (a cow?). Moreover, things such as popcorn are usually eaten at the movies, and not in a restaurant. The authors deal with these phenomena from different points of view.
650		7	_Inteligencia artificial
650		7	_aTraductores _9140338
700	1		_aCalvo, Hiram _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
776	0	8	_iEdición impresa: _z9783319740539
776	0	8	_iEdición impresa: _z9783319740553
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-74054-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490	0		_aEngineering (Springer-11647)
988			_aEBSPRINGER_2018
998			_b01/2019 _dz _ep _feng _ggw _h0
999			_c102764 _d102764 _x1