Chemical entity recognition in patents by combining dictionary-based and statistical approaches

@inproceedings{Akhondi2016ChemicalER,
  title={Chemical entity recognition in patents by combining dictionary-based and statistical approaches},
  author={Saber A. Akhondi and Ewoud Pons and Zubair Afzal and Herman van Haagen and Benedikt F. H. Becker and Kristina M. Hettne and Erik M. van Mulligen and Jan A. Kors},
  booktitle={Database},
  year={2016}
}
We describe the development of a chemical entity recognition system and its application in the CHEMDNER-patent track of BioCreative 2015. This community challenge includes a Chemical Entity Mention in Patents (CEMP) recognition task and a Chemical Passage Detection (CPD) classification task. We addressed both tasks by an ensemble system that combines a dictionary-based approach with a statistical one. For this purpose the performance of several lexical resources was assessed using Peregrine… CONTINUE READING
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  • C. Qin
  • Nucleic Acids Res
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