Serial-verb sentence contains two or more verbs(or verb structures)sharing the same agent with the form of"NP+VP1+VP2".Sentences with the same serial-verb structures can express a variety of different semantic re-lation.In this paper,we build a data set of serial verb sentences,and propose a neural network model for recognition of semantic relation in serial verbs.First,the serial-verb sentences are encoded with Bert.Second,BiLSTM-CRF is used to identify the serial verbs and their subjects.Then,based on the embedding fused with serial verbs,the rela-tion recognition of serial verbs is implemented using BiLSTM-Attention.The experimental results prove the effec-tiveness of the proposed method.
关键词
连动结构/神经网络/连动句语义关系识别
Key words
serial-verb structure/neural network/semantic relation recognition of serial-verb sentences
维普
万方数据