TY  - EJOU
AU  - Liao, Tao 
AU  - Fu, Weicheng 
AU  - Zhang, Shunxiang 
AU  - Liu, Zongtian 

TI  - Event Trigger Recognition Based on Positive and Negative Weight Computing and its Application
T2  - Computer Systems Science and Engineering

PY  - 2020
VL  - 35
IS  - 5
SN  - 

AB  - Event trigger recognition is a sub-task of event extraction, which is important for text classification, topic tracking and so on. In order to improve the
effectiveness of using word features as a benchmark, a new event trigger recognition method based on positive and negative weight computing is proposed.
Firstly, the associated word feature, the part-of-speech feature and the dependency feature are combined. Then, the combination of these three features with
positive and negative weight computing is used to identify triggers. Finally, the text classification is carried out based on the event triggers. Findings from
our experiments show that the application of our method achieves ideal results.
KW  - Event trigger recognition
KW  -  Associated word
KW  -  Dependency
KW  -  Part-of-speech
KW  -  Positive and negative weight computing
KW  -  Text classification

DO  - 10.32604/csse.2020.35.311