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...

Descripción completa

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:
Natural language processing (Computer science)
Corpora (Linguistics) > Data processing.
Machine learning.
Traitement automatique des langues naturelles.
Corpus (Linguistique) > Informatique.
Apprentissage automatique.
COMPUTERS > Natural Language Processing.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • 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.

Ejemplares similares