@article{1818,
  author = {Xiaomei WEI, Qin ZHU, Chen LYU, Kai REN, Bo CHEN},
  title = {A Hybrid Method to Extract Triggers in Biomedical Events},
  journal = {Journal of Digital Information Management},
  year = {2015},
  volume = {13},
  number = {4},
  doi = {},
  url = {http://dline.info/fpaper/jdim/v13i4/v13i4_11.pdf},
  abstract = {Biomedical event extraction from literature
is a new research topic in the field of biomedical text
mining. Trigger detection is a crucial and challenging
subtask in this complex task. A method based on the
conditional random field (CRF) model combined with
support vector machine (SVM) is developed in this study
to detect biomedical event triggers. Rich features,
including lexical and structural, are used in model training.
Experiment results show the promising perfor-mance of
the method, which achieved an F-score of 72.07 on the
BioNLP2013-ST corpus. Different from the other similar
systems, the valid proteins that participate in the event
are identified which is helpful to detect the triggers. We
believe this work is a positive contribution to the
biomedical text mining community by easing biomedical
event extraction.},
}