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        <title>基于BiLSTM-CRF的社会突发事件研判方法(Social Emergency Event Judgement based on BiLSTM-CRF)</title>
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        <namePart type="given">Huijun</namePart>
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    <name type="personal">
        <namePart type="given">Maofu</namePart>
        <namePart type="family">Liu</namePart>
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            <title>Proceedings of the 19th Chinese National Conference on Computational Linguistics</title>
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            <publisher>Chinese Information Processing Society of China</publisher>
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    <abstract>社会突发事件的分类和等级研判作为应急处置中的一环,其重要性不言而喻。然而,目前研究多数采用人工或规则的方法识别证据进行研判,由于社会突发事件的构成的复杂性和语言描述的灵活性,这对于研判证据识别有很大局限性。本文参考“事件抽取”思想,事件类型和研判证据作为事件中元素,以BiLSTM-CRF方法细粒度的识别,并将二者结合,分类结果作为等级研判的输入,识别出研判证据。最终将识别结果结合注意力机制进行等级研判,通过对研判证据的精准识别从而来增强等级研判的准确性。实验表明,相比人工或规则识别研判证据,本文提出的方法有着更好的鲁棒性,社会突发事件研判时也达到了较好的效果。 关键词:事件分类 ;研判证据识别 ;等级研判 ;BiLSTM-CRF</abstract>
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%0 Conference Proceedings
%T 基于BiLSTM-CRF的社会突发事件研判方法(Social Emergency Event Judgement based on BiLSTM-CRF)
%A Hu, Huijun
%A Wang, Cong
%A Dai, Jianhua
%A Liu, Maofu
%S Proceedings of the 19th Chinese National Conference on Computational Linguistics
%D 2020
%8 oct
%I Chinese Information Processing Society of China
%C Haikou, China
%G Chinese
%F hu-etal-2020-ji
%X 社会突发事件的分类和等级研判作为应急处置中的一环,其重要性不言而喻。然而,目前研究多数采用人工或规则的方法识别证据进行研判,由于社会突发事件的构成的复杂性和语言描述的灵活性,这对于研判证据识别有很大局限性。本文参考“事件抽取”思想,事件类型和研判证据作为事件中元素,以BiLSTM-CRF方法细粒度的识别,并将二者结合,分类结果作为等级研判的输入,识别出研判证据。最终将识别结果结合注意力机制进行等级研判,通过对研判证据的精准识别从而来增强等级研判的准确性。实验表明,相比人工或规则识别研判证据,本文提出的方法有着更好的鲁棒性,社会突发事件研判时也达到了较好的效果。 关键词:事件分类 ;研判证据识别 ;等级研判 ;BiLSTM-CRF
%U https://aclanthology.org/2020.ccl-1.62
%P 667-675

Markdown (Informal)

[基于BiLSTM-CRF的社会突发事件研判方法(Social Emergency Event Judgement based on BiLSTM-CRF)](https://aclanthology.org/2020.ccl-1.62) (Hu et al., CCL 2020)

• 基于BiLSTM-CRF的社会突发事件研判方法(Social Emergency Event Judgement based on BiLSTM-CRF) (Hu et al., CCL 2020)

ACL

• Huijun Hu, Cong Wang, Jianhua Dai, and Maofu Liu. 2020. 基于BiLSTM-CRF的社会突发事件研判方法(Social Emergency Event Judgement based on BiLSTM-CRF). In Proceedings of the 19th Chinese National Conference on Computational Linguistics, pages 667–675, Haikou, China. Chinese Information Processing Society of China.