Semantic Role Labeling Based Event Argument Identification
Wen Zhou, Yajun Zhang, Xiaoying Su, Yao Li, Zongtian Liu · International Journal of Database Theory and Application · 2016
Event extraction is one of the most challenging tasks of information extraction from text.This paper studies one of the stages of Chinese event extraction, namely, event argument identification.A new method we call Semantic Role Labeling Based Event Argument Identification, based on the state-of-the-art methods of event extraction and event argument identification, is proposed.First, the 5W1H (who, what, whom, when, where, how) information is extracted from the text using semantic role labeling; thereafter, the 5W1H information is mapped to each argument of the event by heuristic rules.The method is used to identify the event arguments on two test sets of acquisition and transfer data, and contrasted with the methods of SRL and SRL combining heuristic rules.We find the best F1 measures for each to be 76.04% and 79.19% respectively.