论文标题

结合幽默和讽刺以改善政治模仿检测

Combining Humor and Sarcasm for Improving Political Parody Detection

论文作者

Ao, Xiao, Villegas, Danae Sánchez, Preoţiuc-Pietro, Daniel, Aletras, Nikolaos

论文摘要

模仿是一种用于模仿喜剧或关键目的的实体的象征性装置。模仿是有意幽默的,通常涉及讽刺。本文探讨了共同建模这些形象性的对象,目的是提高推文中政治模仿的表现。为此,我们提出了一个多编码器模型,该模型结合了三个平行编码器,以富集模仿特异性表示与幽默和讽刺信息。公开可用的政治模仿推文的实验表明,我们的方法表现优于先前的最先进方法。

Parody is a figurative device used for mimicking entities for comedic or critical purposes. Parody is intentionally humorous and often involves sarcasm. This paper explores jointly modelling these figurative tropes with the goal of improving performance of political parody detection in tweets. To this end, we present a multi-encoder model that combines three parallel encoders to enrich parody-specific representations with humor and sarcasm information. Experiments on a publicly available data set of political parody tweets demonstrate that our approach outperforms previous state-of-the-art methods.

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