Word-based Partial Annotation for Efficient Corpus Construction

  title={Word-based Partial Annotation for Efficient Corpus Construction},
  author={Graham Neubig and Shinsuke Mori},
While empirical methods have led to great advances in natural language processing (NLP) technology, the cost of annotating training data for such methods can be immense. This is particularly true when applying methods to specialized domains, as annotators that are both familiar with the annotation standard and the target domain are hard-to-find and costly. When a corpus exists in the general domain, it is possible to create a partially annotated corpus in the target domain that augments the… CONTINUE READING
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