Papers with humor detection
Humor Detection in English-Hindi Code-Mixed Social Media Content : Corpus and Baseline System (L18-1)
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| Challenge: | a growing number of social media users are using code-mixing to detect humor . linguistics researchers are looking for methods to detect humorous content in text . |
| Approach: | They analyze a corpus of English-Hindi code-mixed tweets annotated with humorous(H) tags. |
| Outcome: | The proposed method detects humor in code-mixed tweets in English-Hindi. |
UR-FUNNY: A Multimodal Language Dataset for Understanding Humor (D19-1)
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Md Kamrul Hasan, Wasifur Rahman, AmirAli Bagher Zadeh, Jianyuan Zhong, Md Iftekhar Tanveer, Louis-Philippe Morency, Mohammed (Ehsan) Hoque
| Challenge: | Humor is a unique and creative communicative behavior often displayed during social interactions. |
| Approach: | They present a dataset that allows to model multimodal language used in expressing humor using text, visual and acoustic communication. |
| Outcome: | The proposed framework opens the door to understanding multimodal language used in expressing humor. |
A Sentiment and Emotion Aware Multimodal Multiparty Humor Recognition in Multilingual Conversational Setting (2022.coling-1)
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| Challenge: | Humor is an essential aspect of daily conversation, and people try to provoke humor in their talks. |
| Approach: | They propose a multitask framework that annotates Hindi utterances with sentiment and emotion classes. |
| Outcome: | The proposed framework improves on the recently released Hindi Humor dataset . it takes sentiment and emotion into account to understand humor . |
StandUp4AI: A New Multilingual Dataset for Humor Detection in Stand-up Comedy Videos (2025.findings-emnlp)
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| Challenge: | a new multimodal dataset of stand-up comedies is proposed to improve humor detection . the dataset is the biggest available for this type of task, and the most diverse . |
| Approach: | They propose a method to enhance the automatic laughter detection based on Audio Speech Recognition errors. |
| Outcome: | The proposed method improves existing models of humor detection by using audio speech recognition errors. |