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...

Full description

Bibliographic Details
Main Authors: Santos, Cícero Nogueira dos (Author), Milidiú, Ruy Luiz (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: London : Springer London, 2012.
Series:SpringerBriefs in Computer Science,
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • 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.