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Fusing Word Semantics and Label Dependence for Implicit Discourse Relation Recognition
更新时间:2024-05-16
    • Fusing Word Semantics and Label Dependence for Implicit Discourse Relation Recognition

    • 在隐式篇章关系识别领域,研究者发现当前方法忽略了词语的关键信息和层级间的关联。因此,他们提出了融合词语语义和标签依赖的新方法,利用序列生成技术提升识别准确率。该研究通过实验验证了其有效性,准确率及F1值均显著提升。这一创新方法为篇章关系识别研究开辟了新的方向。
    • Software Guide   Vol. 23, Issue 4, Pages: 1-7(2024)
    • DOI:10.11907/rjdk.222489    

      CLC: TP391
    • Published:15 April 2024

      Received:05 May 2023

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  • LYU Guoying,GUO Xiaojin,JIA Rongrong.Fusing Word Semantics and Label Dependence for Implicit Discourse Relation Recognition[J].Software Guide,2024,23(04):1-7. DOI: 10.11907/rjdk.222489.

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LI Ru
REN Pengfei

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Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education , Shanxi University
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