Serial-verb sentence is a sentence with several coordinated verbs in it.As a special syntactic structure it is very common and frequently used in modern Chinese.The grammatical structure and semantic relationship of serial-verb sentences are very complicated,which brings obstacles in its automatic recognition.This paper focuses on the recognition of Serial-verb sentence and proposes a recognition model based on neural networks.This method is implemented in two steps:the first step is to use rules to preprocess the corpus;the second step is to use BERT,the multi-layer CNN and the BiLSTM model to jointly extract features for classification,and then complete the sentence recognition task.Experimental results show that our model performs good in serial-verb sentence recognition,and the accuracy reaches 92.71%accuracy,while the F1 value roaches 87.41%.
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