语境对隐喻释义恰当性判断的影响
The Effect of Context on Metaphor Paraphrase Aptness Judgments
摘要：
本文通过两个实验研究了语境对隐喻释义恰当性判断的影响。第一个是AMT众源任务，在该任务中，发言者在短文档上下文中对隐喻释义候选句对进行释义恰当性排名。在第二部分中，我们训练一个复合DNN来预测这些人类判断，首先是二元分类器模式，然后是梯度评级。我们发现，对于平均人类判断和DNN的预测，添加文档上下文会将适当性分数压缩到量表的中心，提高低的上下文评分，降低高的上下文评分。我们提供了一个临时的解释这种压缩效应。
英文摘要：
We conduct two experiments to study the effect of context on metaphor paraphrase aptness judgments. The first is an AMT crowd source task in which speakers rank metaphor paraphrase candidate sentence pairs in short document contexts for paraphrase aptness. In the second we train a composite DNN to predict these human judgments, first in binary classifier mode, and then as gradient ratings. We found that for both mean human judgments and our DNN's predictions, adding document context compresses the aptness scores towards the center of the scale, raising low out of context ratings and decreasing high out of context scores. We offer a provisional explanation for this compression effect.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
