Traditional event argument extraction methods formulated this task as a multi-classification or sequence labeling task mentioned by entities in the sentence.In these methods,the category of argument roles can only be described as vectors,while their prior information are ignored.In fact,the semantics of argument role category is closely related with the argument itself.Therefore,this paper proposes to regard argument extraction as machine reading comprehension,with argument role described as natural language question,and the way to extract arguments is to answer these questions based on the context,this method can make better use of the prior information existed in argument role categories and its effectiveness is shown in the experiments of Chinese corpus of ACE 2005.
事件论元抽取阅读理解先验信息BERT
陈敏、吴凡、王中卿、李培峰、朱巧明
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苏州大学计算机科学与技术学院,苏州,江苏,215006
事件论元抽取 阅读理解 先验信息 BERT
Chinese National Conference on Computational Linguistic
Haikou(CN)
19th Chinese National Conference on Computational Linguistic
NETL
