@INPROCEEDINGS{XAZZ+13,

 author = {Xu, Shuo and An, Xin and Zhu, Lijun and Zhang, Yunliang and Zhang,

Haodong},

 title = {A {CRF}-Based System for Recognizing Chemical Entities in Biomedical

Literature},

 booktitle = {Proceedings of the 4th BioCreative Challenge Evaluation Workshop},

 year = {2013},

 volume = {2},

 series = {152--157},

 abstract = {One of tasks of the BioCreative IV competition, the CHEMDNER task,

includes two subtasks: CEM and CDI. We participated in the later

subtask, and developed a CEM recognition system on the basis of CRF

approach and some open-source NLP toolkits. Our system processing

pipeline consists of three major components: pre-processing (sentence

detection, tokenization), recognition (CRF-based approach), and post-processing

(rule-based approach and format conversion).},

 keywords = {Chemical Compound and Drug Name Recognition sep Conditional Random

FField (CRFs) sep Entity Mention sep Rule-based Approach},

}

全文见：CEM.pdf