• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

计算机工程与科学 ›› 2023, Vol. 45 ›› Issue (08): 1490-1497.

• 人工智能与数据挖掘 • 上一篇    下一篇

基于NPN融入词性注意力机制的中文事件探测

胡庆孟1,2,王红斌1,2,王俊钟3   

  1. (1.昆明理工大学信息工程与自动化学院,云南 昆明 650500;
    2.昆明理工大学云南省人工智能重点实验室,云南 昆明 650500;
    3.云南省工业和信息化厅信息中心,云南 昆明 650011)
  • 收稿日期:2021-10-18 修回日期:2022-03-17 接受日期:2023-08-25 出版日期:2023-08-25 发布日期:2023-08-21
  • 基金资助:
    国家自然科学基金(61966020)

A Chinese event detection method based on nugget proposal network with part-of-speech attention mechanism

HU Qing-meng1,2 ,WANG Hong-bin1,2,WANG Jun-zhong3   

  1. (1.Faculty of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650500;
    2.Yunnan Key Laboratory of Artificial Intelligence,Kunming University of Science and Technology,Kunming 650500;
    3.Information Center,Department of Industry and Information Technology of Yunnan Province,Kunming 650011,China)
  • Received:2021-10-18 Revised:2022-03-17 Accepted:2023-08-25 Online:2023-08-25 Published:2023-08-21

摘要: 事件探测主要研究触发词探测以及事件类型识别。现阶段基于深度学习的模型大部分集中在利用语义角色信息、句法依存树信息以及预训练模型方面,忽略了词性的重要性。针对这个问题,提出基于块提取网络融入词性注意力机制的中文事件探测方法,首先基于NLP词性标注工具获得词性序列,然后使用CBOW算法获得词性嵌入,最后在模型中使用词性嵌入计算词性注意力用于事件探测。在ACE2005数据集上进行实验,融入词性注意力后模型在事件探测任务上的F1分数分别提升了3.8%和2.4%,表明了该方法的有效性。

关键词: 块提取网络;词性向量;词性注意力;事件探测;事件抽取 ,

Abstract: Event detection mainly studies trigger word detection and event type recognition. At pre- sent, most models based on deep learning focus on semantic role information, syntactic dependency tree information and pre-training models, but ignore the importance of parts of speech. To solve this problem, this paper proposes a Chinese event detection method based on nugget proposal network with part-of-speech attention mechanism. The method firstly obtains part-of-speech sequence based on NLP part-of-speech tagging tool, then uses the CBOW algorithm to obtain part-of-speech embedding, and finally uses part-of-speech embedding in the model to calculate part-of-speech attention for event detection. Experiments on the ACE2005 show that the F1 score of the model with part-of-speech attention is improved by 3.8% and 2.4% respectively on the event detection task, which proves the effectiveness of the method.

Key words: nugget proposal network, part-of-speech embedding, part-of-speech attention, event detection, event extraction