这是怎么得到资助的？！自动识别古怪的科学成就
How Did This Get Funded?! Automatically Identifying Quirky Scientific Achievements
摘要：
幽默是一种重要的社会现象，具有复杂的社会和心理功能。然而，尽管幽默被研究了几千年，但在计算上并没有得到很好的理解，通常被认为是一个人工智能完全问题。在这项工作中，我们介绍了幽默挖掘的一个新的设置：自动检测有趣和不寻常的科学论文。我们的灵感来自搞笑诺贝尔奖，这是一个讽刺性的奖项，每年颁发一次，以庆祝有趣的科学成就（例如过去的获奖者：“奶牛站得越久，就越有可能躺下吗？").这个具有挑战性的任务具有独特的特征，使其特别适合自动学习。我们构建了一个包含数千篇有趣论文的数据集，并将其用于学习分类器，将心理学和语言学的研究结果与NLP的最新进展相结合。我们使用我们的模型来识别超过630，000篇文章的大型数据集中可能有趣的论文。结果证明了我们的方法的潜力，以及更广泛地将最先进的NLP方法与来自更传统学科的见解相结合的实用性。
英文摘要：
Humor is an important social phenomenon, serving complex social and psychological functions. However, despite being studied for millennia humor is computationally not well understood, often considered an AI-complete problem. In this work, we introduce a novel setting in humor mining: automatically detecting funny and unusual scientific papers. We are inspired by the Ig Nobel prize, a satirical prize awarded annually to celebrate funny scientific achievements (example past winner: "Are cows more likely to lie down the longer they stand?"). This challenging task has unique characteristics that make it particularly suitable for automatic learning. We construct a dataset containing thousands of funny papers and use it to learn classifiers, combining findings from psychology and linguistics with recent advances in NLP. We use our models to identify potentially funny papers in a large dataset of over 630,000 articles. The results demonstrate the potential of our methods, and more broadly the utility of integrating state-of-the-art NLP methods with insights from more traditional disciplines.
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。
