| 000 | 03796nam a22005175i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-02132-9 | ||
| 003 | DE-He213 | ||
| 005 | 20240730163818.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 220601s2009 sz | s |||| 0|eng d | ||
| 020 |
_a9783031021329 _9978-3-031-02132-9 |
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| 024 | 7 |
_a10.1007/978-3-031-02132-9 _2doi |
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| 050 | 4 | _aQ334-342 | |
| 050 | 4 | _aTA347.A78 | |
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_aUYQ _2bicssc |
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_a006.3 _223 |
| 100 | 1 |
_aWilcock, Graham. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _980631 |
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| 245 | 1 | 0 |
_aIntroduction to Linguistic Annotation and Text Analytics _h[electronic resource] / _cby Graham Wilcock. |
| 250 | _a1st ed. 2009. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2009. |
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| 300 |
_aIX, 151 p. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aSynthesis Lectures on Human Language Technologies, _x1947-4059 |
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| 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. | ||
| 650 | 0 |
_aArtificial intelligence. _93407 |
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| 650 | 0 |
_aNatural language processing (Computer science). _94741 |
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| 650 | 0 |
_aComputational linguistics. _96146 |
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| 650 | 1 | 4 |
_aArtificial Intelligence. _93407 |
| 650 | 2 | 4 |
_aNatural Language Processing (NLP). _931587 |
| 650 | 2 | 4 |
_aComputational Linguistics. _96146 |
| 710 | 2 |
_aSpringerLink (Online service) _980632 |
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| 773 | 0 | _tSpringer Nature eBook | |
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_iPrinted edition: _z9783031010040 |
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_iPrinted edition: _z9783031032608 |
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_aSynthesis Lectures on Human Language Technologies, _x1947-4059 _980633 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-02132-9 |
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