@article{QIN2010, 
author = {Bing QIN and Yanyan ZHAO and Xiao DING and Ting LIU and Guofu ZHAI},
title = {Event Type Recognition Based on Trigger Expansion},
year = {2010},
journal = {Tsinghua Science and Technology},
volume = {15},
number = {3},
pages = {251-258},
keywords = {event extraction, event type recognition, event trigger},
url = {https://www.sciopen.com/article/10.1016/S1007-0214(10)70058-4},
doi = {10.1016/S1007-0214(10)70058-4},
abstract = {Event extraction is an important research point in information extraction, which includes two important sub-tasks of event type recognition and event argument recognition. This paper describes a method based on automatic expansion of the event triggers for event type recognition. The event triggers are first extended through a thesaurus to enable the extraction of the candidate events and their candidate types. Then, a binary classification method is used to recognize the candidate event types. This method effectively improves the unbalanced data problem in training models and the data sparseness problem with a small corpus. Evaluations on the ACE2005 dataset give a final F-score of 61.24%, which outperforms traditional methods based on pure machine learning.}
}