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020 _a9783031021435
024 7 _a10.1007/978-3-031-02143-5
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQA76.9.N38
_b2011 EB
100 1 _aSmith, Noah Ashton
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9687387
245 1 0 _aLinguistic Structure Prediction
_cby Noah A. Smith
250 _a1st edition 2011
264 1 _aCham
_bSpringer International Publishing
_c2011
300 _a1 recurso en línea (XX, 248 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 _aRepresentations and Linguistic Data -- Decoding: Making Predictions -- Learning Structure from Annotated Data -- Learning Structure from Incomplete Data -- Beyond Decoding: Inference.
520 _aA major part of natural language processing now depends on the use of text data to build linguistic analyzers. We consider statistical, computational approaches to modeling linguistic structure. We seek to unify across many approaches and many kinds of linguistic structures. Assuming a basic understanding of natural language processing and/or machine learning, we seek to bridge the gap between the two fields. Approaches to decoding (i.e., carrying out linguistic structure prediction) and supervised and unsupervised learning of models that predict discrete structures as outputs are the focus. We also survey natural language processing problems to which these methods are being applied, and we address related topics in probabilistic inference, optimization, and experimental methodology. Table of Contents: Representations and Linguistic Data / Decoding: Making Predictions / Learning Structure from Annotated Data / Learning Structure from Incomplete Data / Beyond Decoding: Inference.
988 _aSynthesis Collection of Technology_2011
650 7 _2embne
_9158738
_aProceso en lenguaje natural (Informática)
650 7 _2embne
_9666075
_aLingüística computacional
776 0 8 _iPrinted edition:
_z9783031010156
776 0 8 _iPrinted edition:
_z9783031032714
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02143-5
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b03/2023
_dz
_esc
_zSI