Ji Yu BERTDe Duan Dao Duan Zhong Wen Pian Zhang Shi Jian Chou Qu (A BERT based End to End Model for Chinese Document level Event Extraction)
Document level event extraction aims at discovering event mentions and extracting events which contain event arguments and their roles from texts. This paper proposes an end to end model for closed domain based on BERT. We introduce the embedding of event type and entity nodes to the subsequent layer for event argument and role identification, which represents the relation between event, arguments and roles and improves the accuracy of classifying multi event arguments. With the title, the quintuple of event, we calculate the master slave structure between multiple events with the embedding presentation. Experimental results show that our model outperforms the state of the art.
CCL