WHU-BioNLP CHEMDNER System with Mixed Conditional Random Fields and Word Clustering

نویسندگان

  • Yanan Lu
  • Xiaoyuan Yao
  • Xiaomei Wei
  • Donghong Ji
  • Xiaohui Liang
چکیده

Our team participated in the Chemical Compound and Drug Name Recognition task of BioCreative IV. We used a mixed conditional random fields with word clustering to fulfillment this task. For one hand, we generate the word feature by word clustering and train the corpus with word feature to get one model. On the other hand, the training corpus is transformed to a new one in the reversed order of the letters. We also train the reversed corpus to get another model. At the end, we mixed the two kinds of models to achieve a final F-measure of 86.07%.

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تاریخ انتشار 2013