论文标题
“划船商店有史以来最好的帆”：发音指标的上下文认可
"The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition
论文作者
论文摘要
幽默在人类语言中起着重要的作用，在构建智力系统时，对幽默进行建模至关重要。在不同形式的幽默中，双关语通过使用具有双重诱惑和高语音相似性的单词来表现幽默效果。但是，识别和建模双关语是具有挑战性的，因为双关语通常涉及隐性语义或语音技巧。在本文中，我们提出了与发音的上下文化识别（PCPR）来感知人类的幽默，检测句子是否包含双关语并将其定位在句子中。 PCPR通过捕获周围上下文及其相应的语音符号之间的关联来衍生句子中每个单词的上下文化表示。广泛的实验是在两个基准数据集上进行的。结果表明，所提出的方法在双关语检测和位置任务中的最先进方法极大地胜过。深入分析验证PCPR的有效性和鲁棒性。
Humor plays an important role in human languages and it is essential to model humor when building intelligence systems. Among different forms of humor, puns perform wordplay for humorous effects by employing words with double entendre and high phonetic similarity. However, identifying and modeling puns are challenging as puns usually involved implicit semantic or phonological tricks. In this paper, we propose Pronunciation-attentive Contextualized Pun Recognition (PCPR) to perceive human humor, detect if a sentence contains puns and locate them in the sentence. PCPR derives contextualized representation for each word in a sentence by capturing the association between the surrounding context and its corresponding phonetic symbols. Extensive experiments are conducted on two benchmark datasets. Results demonstrate that the proposed approach significantly outperforms the state-of-the-art methods in pun detection and location tasks. In-depth analyses verify the effectiveness and robustness of PCPR.
