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...
Main Authors: | , |
---|---|
Corporate Author: | |
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.