词嵌入中的幽默：《傻瓜的妙语连珠》
Humor in Word Embeddings: Cockamamie Gobbledegook for Nincompoops
摘要：
虽然幽默通常被认为是超出了自然语言处理的范围，我们表明，单字幽默的几个方面与简单的线性方向在词嵌入。特别是：（a）词向量捕捉来自不同学科的幽默理论中讨论的多个方面;（b）每个人的幽默感可以由向量表示，该向量可以预测人们对新的、未评级的词的幽默感的差异;以及（c）在对多个人口统计组的幽默评级进行聚类时，不同的组中出现不同的幽默偏好。幽默评级来自Engelthaler和Hills（2017）的工作以及120，000字的原始众包研究。我们的数据集还包括我们识别的理论动机幽默特征的注释。
英文摘要：
While humor is often thought to be beyond the reach of Natural Language Processing, we show that several aspects of single-word humor correlate with simple linear directions in Word Embeddings. In particular: (a) the word vectors capture multiple aspects discussed in humor theories from various disciplines; (b) each individual's sense of humor can be represented by a vector, which can predict differences in people's senses of humor on new, unrated, words; and (c) upon clustering humor ratings of multiple demographic groups, different humor preferences emerge across the different groups. Humor ratings are taken from the work of Engelthaler and Hills (2017) as well as from an original crowdsourcing study of 120,000 words. Our dataset further includes annotations for the theoretically-motivated humor features we identify.
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。
