Exploring Word Embedding for Drug Name Recognition

@inproceedings{SeguraBedmar2015ExploringWE,
  title={Exploring Word Embedding for Drug Name Recognition},
  author={Isabel Segura-Bedmar and V{\'i}ctor Su{\'a}rez-Paniagua and Paloma Mart{\'i}nez},
  booktitle={Louhi@EMNLP},
  year={2015}
}
This paper describes a machine learningbased approach that uses word embedding features to recognize drug names from biomedical texts. As a starting point, we developed a baseline system based on Conditional Random Field (CRF) trained with standard features used in current Named Entity Recognition (NER) systems. Then, the system was extended to incorporate new features, such as word vectors and word clusters generated by the Word2Vec tool and a lexicon feature from the DINTO ontology. We… CONTINUE READING
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