基于神经网络的连动句识别(Recognition of serial-verb sentences based on Neural Network)

Chao Sun (孙超), Weiguang Qu (曲维光), Tingxin Wei (魏庭新), Yanhui Gu (顾彦慧), Bin Li (李斌), Junsheng Zhou (周俊生)


Abstract
连动句是具有连动结构的句子,是汉语中的特殊句法结构,在现代汉语中十分常见且使用频繁。连动句语法结构和语义关系都很复杂,在识别中存在许多问题,对此本文针对连动句的识别问题进行了研究,提出了一种基于神经网络的连动句识别方法。本方法分两步:第一步,运用简单的规则对语料进行预处理;第二步,用文本分类的思想,使用BERT编码,利用多层CNN与BiLSTM模型联合提取特征进行分类,进而完成连动句识别任务。在人工标注的语料上进行实验,实验结果达到92.71%的准确率,F1值为87.41%。
Anthology ID:
2020.ccl-1.17
Volume:
Proceedings of the 19th Chinese National Conference on Computational Linguistics
Month:
October
Year:
2020
Address:
Haikou, China
Editors:
Maosong Sun (孙茂松), Sujian Li (李素建), Yue Zhang (张岳), Yang Liu (刘洋)
Venue:
CCL
SIG:
Publisher:
Chinese Information Processing Society of China
Note:
Pages:
172–182
Language:
Chinese
URL:
https://aclanthology.org/2020.ccl-1.17
DOI:
Bibkey:
Cite (ACL):
Chao Sun, Weiguang Qu, Tingxin Wei, Yanhui Gu, Bin Li, and Junsheng Zhou. 2020. 基于神经网络的连动句识别(Recognition of serial-verb sentences based on Neural Network). In Proceedings of the 19th Chinese National Conference on Computational Linguistics, pages 172–182, Haikou, China. Chinese Information Processing Society of China.
Cite (Informal):
基于神经网络的连动句识别(Recognition of serial-verb sentences based on Neural Network) (Sun et al., CCL 2020)
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PDF:
https://aclanthology.org/2020.ccl-1.17.pdf