CATs 是模糊的 PETs：潜在委婉语语料库及其分析
CATs are Fuzzy PETs: A Corpus and Analysis of Potentially Euphemistic Terms
AI总结：
本文构建潜在委婉语术语（PETs）语料库，分析发现委婉语降低负面情感，且标注分歧与术语普遍接受度相关。
摘要：
委婉语在自然语言处理中尚未受到太多关注，尽管它是礼貌语言和比喻语言的重要元素。委婉语被证明是一个困难的话题，不仅因为它们受语言变化的影响，而且因为人类可能对什么是委婉语、什么不是委婉语意见不一。然而，解决这个问题的第一步是收集和分析委婉语的实例。我们提出了一个潜在委婉语术语（PETs）的语料库，并附有来自 GloWbE 语料库的示例文本。此外，我们提出了一个文本子语料库，其中这些 PETs 未被委婉地使用，这可能对未来的应用有用。我们还讨论了在语料库上进行的多项分析的结果。首先，我们发现对委婉语文本的情感分析支持 PETs 通常会降低负面和攻击性情感。其次，我们观察到在标注任务中存在分歧的情况，在该任务中，人类被要求在我们的语料库文本示例子集中将 PETs 标记为委婉语或非委婉语。我们将这种分歧归因于多种潜在原因，包括 PET 是否是普遍接受的术语（CAT）。
英文摘要：
Euphemisms have not received much attention in natural language processing, despite being an important element of polite and figurative language. Euphemisms prove to be a difficult topic, not only because they are subject to language change, but also because humans may not agree on what is a euphemism and what is not. Nevertheless, the first step to tackling the issue is to collect and analyze examples of euphemisms. We present a corpus of potentially euphemistic terms (PETs) along with example texts from the GloWbE corpus. Additionally, we present a subcorpus of texts where these PETs are not being used euphemistically, which may be useful for future applications. We also discuss the results of multiple analyses run on the corpus. Firstly, we find that sentiment analysis on the euphemistic texts supports that PETs generally decrease negative and offensive sentiment. Secondly, we observe cases of disagreement in an annotation task, where humans are asked to label PETs as euphemistic or not in a subset of our corpus text examples. We attribute the disagreement to a variety of potential reasons, including if the PET was a commonly accepted term (CAT).
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。
