Learning Rules and Their Exceptions

  title={Learning Rules and Their Exceptions},
  author={Herv{\'e} D{\'e}jean},
  journal={Journal of Machine Learning Research},
We present in this article a top-down inductive system, ALLiS, for learning linguistic structures. Two difficulties came up during the development of the system: the presence of a significant amount of noise in the data and the presence of exceptions linguistically motivated. It is then a challenge for an inductive system to learn rules from this kind of data. This leads us to add a specific mechanism, refinement, which enables learning rules and their exceptions. In the first part of this… CONTINUE READING
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