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...
Κύριοι συγγραφείς: | , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
London :
Springer London,
2012.
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Σειρά: | SpringerBriefs in Computer Science,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.