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        <title>基于框架语义映射和类型感知的篇章事件抽取(Document-Level Event Extraction Based on Frame Semantic Mapping and Type Awareness)</title>
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    <name type="personal">
        <namePart type="given">Zhichao</namePart>
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    <abstract>“篇章事件抽取是从给定的文本中识别其事件类型和事件论元。目前篇章事件普遍存在数据稀疏和多值论元耦合的问题。基于此,本文将汉语框架网(CFN)与中文篇章事件建立映射,同时引入滑窗机制和触发词释义改善了事件检测的数据稀疏问题;使用基于类型感知标签的多事件分离策略缓解了论元耦合问题。为了提升模型的鲁棒性,进一步引入对抗训练。本文提出的方法在DuEE-Fin和CCKS2021数据集上实验结果显著优于现有方法。”</abstract>
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%0 Conference Proceedings
%T 基于框架语义映射和类型感知的篇章事件抽取(Document-Level Event Extraction Based on Frame Semantic Mapping and Type Awareness)
%A Lu, Jiang
%A Li, Ru
%A Su, Xuefeng
%A Yan, Zhichao
%A Chen, Jiaxing
%S Proceedings of the 21st Chinese National Conference on Computational Linguistics
%D 2022
%8 October
%I Chinese Information Processing Society of China
%C Nanchang, China
%G Chinese
%F lu-etal-2022-ji
%X “篇章事件抽取是从给定的文本中识别其事件类型和事件论元。目前篇章事件普遍存在数据稀疏和多值论元耦合的问题。基于此,本文将汉语框架网(CFN)与中文篇章事件建立映射,同时引入滑窗机制和触发词释义改善了事件检测的数据稀疏问题;使用基于类型感知标签的多事件分离策略缓解了论元耦合问题。为了提升模型的鲁棒性,进一步引入对抗训练。本文提出的方法在DuEE-Fin和CCKS2021数据集上实验结果显著优于现有方法。”
%U https://aclanthology.org/2022.ccl-1.22
%P 234-245

Markdown (Informal)

[基于框架语义映射和类型感知的篇章事件抽取(Document-Level Event Extraction Based on Frame Semantic Mapping and Type Awareness)](https://aclanthology.org/2022.ccl-1.22) (Lu et al., CCL 2022)

• 基于框架语义映射和类型感知的篇章事件抽取(Document-Level Event Extraction Based on Frame Semantic Mapping and Type Awareness) (Lu et al., CCL 2022)

ACL

• Jiang Lu, Ru Li, Xuefeng Su, Zhichao Yan, and Jiaxing Chen. 2022. 基于框架语义映射和类型感知的篇章事件抽取(Document-Level Event Extraction Based on Frame Semantic Mapping and Type Awareness). In Proceedings of the 21st Chinese National Conference on Computational Linguistics, pages 234–245, Nanchang, China. Chinese Information Processing Society of China.