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| Recognition of Serial-verb Sentences Based on Neural Network |
| SUN Chao1,4, QU Weiguang1,2, WEI Tingxin2,3, GU Yanhui1, LI Bin2, ZHOU Junsheng1 |
1.School of Computer and Electronic Information, Nanjing Normal University, Nanjing, Jiangsu 210023, China;
2.School of Chinese Language and Literature, Nanjing Normal University, Nanjing, Jiangsu 210097, China;
3.International College for Chinese Studies, Nanjing Normal University, Nanjing, Jiangsu 210097, China;
4.Kunshan Zhenchuan Senior High School, Suzhou, Jiangsu 215300, China |
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Abstract Serial-verb sentence is a sentence with several coordinated verbs. The grammatical structure and semantic relationship of serial-verb sentences are very complicated, which brings obstacles in its automatic recognition. This paper proposes a recognition model based on neural networks for the recognition of serial-verb sentence. This method uses rules to preprocess the corpus and then applies 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 achieves an accuracy of 92.71% and F1-value of 87.41%.
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Received: 21 February 2021
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2022, Vol. 36 
