Entropy Guided Transformation Learning

@inproceedings{Santos2009EntropyGT,
  title={Entropy Guided Transformation Learning},
  author={C{\'i}cero Nogueira dos Santos and Ruy Luiz Milidi{\'u}},
  booktitle={Foundations of Computational Intelligence},
  year={2009}
}
This work presents Entropy Guided Transformation Learning (ETL), a new machine learning algorithm for classification tasks. It generalizes Transformation Based Learning (TBL) by automatically solving the TBL bottleneck: the construction of good template sets. We also present ETL Committee, an ensemble method that uses ETL as the base learner. The main advantage of ETL is its easy applicability to Natural Language Processing (NLP) tasks. Its modeling phase is quick and simple. It only requires a… CONTINUE READING
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