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SWACG: A Hybrid Neural Network Integrating Sliding Window for Biomedical Event Trigger Extraction

机译:SWACG: A Hybrid Neural Network Integrating Sliding Window for Biomedical Event Trigger Extraction

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摘要

As an important part of biomedical text mining, biomedical events play a key role in improving biomedical research and disease prevention. Trigger identification, extracting the words describing the event types, is a critical and prerequisite step for biomedical event extraction. Traditional methods excessively rely on natural language processing tools in the feature extraction process, incurring a significant manual cost. In addition, because of the particularity of the biomedical literature, the problem of long-distance dependency is obvious. To solve these problems, we propose a hybrid structure SWACG, which consists of the ReCNN-BiGRU (Residual CNN and Bidirectional Gated Recurrent Unit) hybrid neural network and MH-attention (Multi-Head attention) mechanism. The proposed model uses ReCNN to extract vocabulary-level features and BiGRU to obtain contextual semantic information. Furthermore, sliding window divides long sentences into equal-length short sentences without destroying context information, which can avoid long-distance dependency. Experimental results show that our method advances the state-of-the-art performance on the commonly F-score. (C) 2021 Society for Imaging Science and Technology.

著录项

  • 来源
    《Journal of Imaging Science and Technology》 |2021年第6期|60502.1-60502.13|共13页
  • 作者

    He Xinyu; Yu Bo; Ren Yonggong;

  • 作者单位

    Liaoning Normal Univ, Sch Comp & Informat Technol, Dalian, Peoples R China|Dalian Univ Technol, Informat & Commun Engn Postdoctoral Res Stn, Dalian, Peoples R China|Postdoctoral Workstn Dalian Yongjia Elect Technol, Dalian, Peoples R China;

    Liaoning Normal Univ, Sch Comp & Informat Technol, Dalian, Peoples R China|Dalian Univ Technol, Informat & Commun Engn Postdoctoral Res Stn, Dalian, Peoples R China;

    Liaoning Normal Univ, Sch Comp & Informat Technol, Dalian, Peoples R China;

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  • 正文语种 英语
  • 中图分类 摄影技术;
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