@InProceedings{zhou-EtAl:2018:BioNLP18,
  author    = {Zhou, Kaiyin  and  Zhang, Sheng  and  Meng, Xiangyu  and  Luo, Qi  and  Wang, Yuxing  and  Ding, Ke  and  Feng, Yukun  and  Chen, Mo  and  Cohen, Kevin  and  Xia, Jingbo},
  title     = {CRF-LSTM Text Mining Method Unveiling the Pharmacological Mechanism of Off-target Side Effect of Anti-Multiple Myeloma Drugs},
  booktitle = {Proceedings of the BioNLP 2018 workshop},
  month     = {July},
  year      = {2018},
  address   = {Melbourne, Australia},
  publisher = {Association for Computational Linguistics},
  pages     = {166--171},
  abstract  = {Sequence labeling of biomedical entities, e.g., side effects or phenotypes, was a long-term task in BioNLP and MedNLP communities. Thanks to effects made among these communities, adverse reaction NER has developed dramatically in recent years. As an illuminative application, to achieve knowledge discovery via the combination of the text mining result and bioinformatics idea shed lights on the pharmacological mechanism research.},
  url       = {http://www.aclweb.org/anthology/W18-2321}
}