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001 387358
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008 220601s2009 sz | s |||| 0|eng d
020 _a9783031021329
024 7 _a10.1007/978-3-031-02132-9
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
050 4 _aP98.3
_b2009
100 1 _aWilcock, Graham
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aIntroduction to Linguistic Annotation and Text Analytics
_cby Graham Wilcock.
250 _a1st edition 2009
264 1 _aCham
_bSpringer International Publishing
_c2009
300 _a1 recurso en línea (IX, 151 páginas)
_b
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 _aWorking with XML -- Linguistic Annotation -- Using Statistical NLP Tools -- Annotation Interchange -- Annotation Architectures -- Text Analytics.
520 _aLinguistic annotation and text analytics are active areas of research and development, with academic conferences and industry events such as the Linguistic Annotation Workshops and the annual Text Analytics Summits. This book provides a basic introduction to both fields, and aims to show that good linguistic annotations are the essential foundation for good text analytics. After briefly reviewing the basics of XML, with practical exercises illustrating in-line and stand-off annotations, a chapter is devoted to explaining the different levels of linguistic annotations. The reader is encouraged to create example annotations using the WordFreak linguistic annotation tool. The next chapter shows how annotations can be created automatically using statistical NLP tools, and compares two sets of tools, the OpenNLP and Stanford NLP tools. The second half of the book describes different annotation formats and gives practical examples of how to interchange annotations between different formats using XSLT transformations. The two main text analytics architectures, GATE and UIMA, are then described and compared, with practical exercises showing how to configure and customize them. The final chapter is an introduction to text analytics, describing the main applications and functions including named entity recognition, coreference resolution and information extraction, with practical examples using both open source and commercial tools. Copies of the example files, scripts, and stylesheets used in the book are available from the companion website, located at the book website. Table of Contents: Working with XML / Linguistic Annotation / Using Statistical NLP Tools / Annotation Interchange / Annotation Architectures / Text Analytics.
776 0 8 _iPrinted edition:
_z9783031010040
776 0 8 _iPrinted edition:
_z9783031032608
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02132-9
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
988 _aSynthesis Collection of Technology_2009
999 _c387358
_d387358