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Natural language annotation for machine learning /

"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 M...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Pustejovsky, J. (James) (Autor), Stubbs, Amber (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Sebastopol, CA : O'Reilly Media, Inc., [2013]
Edición:First edition.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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250 |a First edition. 
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300 |a 1 online resource (324 pages) :  |b illustrations 
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500 |a "A guide to corpus-building for applications"--Book cover. 
505 0 |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. 
520 |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. 
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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. 
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