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|a UAMI
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|a Pustejovsky, J.
|q (James),
|e author.
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1 |
0 |
|a Natural language annotation for machine learning /
|c James Pustejovsky and Amber Stubbs.
|
250 |
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|a First edition.
|
264 |
|
1 |
|a Sebastopol, CA :
|b O'Reilly Media, Inc.,
|c [2013]
|
264 |
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|c ©2013
|
300 |
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|a 1 online resource (324 pages) :
|b illustrations
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|a text
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|a text file
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|a Includes bibliographical references and index.
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|a Print version record.
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|a "A guide to corpus-building for applications"--Book cover.
|
505 |
0 |
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|a The Basics -- Defining Your Goal and Dataset -- Corpus Analytics -- Building Your Model and Specification -- Applying and Adopting Annotation Standards -- Annotation and Adjudication -- Training: Machine Learning -- Testing and Evaluation -- Revising and Reporting -- Annotation: TimeML -- Automatic Annotation: Generating TimeML -- Afterword: The Future of Annotation.
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520 |
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|a "Create your own natural language training corpus for machine learning. Whether you're working with English, Chinese, or any other natural language, this hands-on book guides you through a proven annotation development cycle--the process of adding metadata to your training corpus to help ML algorithms work more efficiently"--Provided by publisher.
|
590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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650 |
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|a Natural language processing (Computer science)
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|a Corpora (Linguistics)
|x Data processing.
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650 |
|
0 |
|a Machine learning.
|
650 |
|
6 |
|a Traitement automatique des langues naturelles.
|
650 |
|
6 |
|a Corpus (Linguistique)
|x Informatique.
|
650 |
|
6 |
|a Apprentissage automatique.
|
650 |
|
7 |
|a COMPUTERS
|x Natural Language Processing.
|2 bisacsh
|
650 |
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7 |
|a Machine learning.
|2 fast
|0 (OCoLC)fst01004795
|
650 |
|
7 |
|a Natural language processing (Computer science)
|2 fast
|0 (OCoLC)fst01034365
|
700 |
1 |
|
|a Stubbs, Amber,
|e author.
|
776 |
0 |
8 |
|i Print version:
|a Pustejovsky, J. (James).
|t Natural language annotation for machine learning.
|d Sebastopol, CA : O'Reilly Media, ©2013
|z 9781449306663
|w (DLC) 2012289691
|w (OCoLC)794362649
|
856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781449332693/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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938 |
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