相互作用的情感与原因子句提取模型

INTERACTIVE EMOTION AND CAUSE CLAUSE EXTRACTION MODEL

  • 摘要: 无情感标注的原因提取获得较多关注。由于情感与原因是相互影响的,基于此,提出相互作用的情感与原因子句提取模型,加入相互作用的注意力矩阵提取情感与原因之间的关联性,进而提高情感子句与原因子句的提取效果。实验结果表明相互作用的注意力矩阵能显著提高模型效果。

     

    Abstract: More and more attention has been paid to the cause extraction without emotion tagging. Because emotion and cause interact with each other, this paper proposes an interactive emotion and cause clause extraction model. An interactive attention matrix was added to extract the correlation between emotion and cause, so as to improve the extraction effect of emotion clause and cause clause. The experimental results show that the interaction attention matrix can significantly improve the effect of the model.

     

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