ClearTK 2.0: Design Patterns for Machine Learning in UIMA

@article{Bethard2014ClearTK2D,
  title={ClearTK 2.0: Design Patterns for Machine Learning in UIMA},
  author={Steven Bethard and Philip V. Ogren and Lee Becker},
  journal={LREC ... International Conference on Language Resources & Evaluation : [proceedings]. International Conference on Language Resources and Evaluation},
  year={2014},
  volume={2014},
  pages={3289-3293}
}
ClearTK adds machine learning functionality to the UIMA framework, providing wrappers to popular machine learning libraries, a rich feature extraction library that works across different classifiers, and utilities for applying and evaluating machine learning models. Since its inception in 2008, ClearTK has evolved in response to feedback from developers and the community. This evolution has followed a number of important design principles including: conceptually simple annotator interfaces… CONTINUE READING

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ClearTK : a framework for statistical natural language processing

  • I. Okoye, S. Bethard, T. Sumner
  • Unstructured Information Management Architecture…
  • 2009

ClearTK : A UIMA toolkit for statistical natural language processing

  • P. V. Ogren, P. G. Wetzler, S. J. Bethard
  • 2008
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