Entropy Guided Transformation Learning: Algorithms and Applications

Entropy Guided Transformation Learning: Algorithms and Applications (ETL) presents a machine learning algorithm for classification tasks. ETL generalizes Transformation Based Learning (TBL) by solving the TBL bottleneck: the construction of good template sets. ETL automatically generates templates u...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: dos Santos, Cícero Nogueira (Autor), Milidiú, Ruy Luiz (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Colección:SpringerBriefs in Computer Science,
Temas:
Pattern recognition systems.
Natural language processing (Computer science).
Computational linguistics.
Automated Pattern Recognition.
Natural Language Processing (NLP).
Computational Linguistics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Preface
  • Acknowledgements
  • Acronyms
  • Part I Entropy Guided Transformation Learning: Algorithms
  • Introduction
  • Entropy Guided Transformation Learning
  • ETL Committee
  • Part II Entropy Guided Transformation Learning: Applications
  • General ETL Modeling for NLP Tasks
  • Part-of-Speech Tagging
  • Phrase Chunking
  • Named Entity Recognition
  • Semantic Role Labeling
  • Conclusions
  • Appendices.

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