Papers by Zeyuan Zeng

2 papers
Leveraging Social Context for Humor Recognition and Sense of Humor Evaluation in Social Media with a New Chinese Humor Corpus - HumorWB (2024.lrec-main)

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Challenge: Existing humor computing research focuses on content while neglecting interaction relationships in social media.
Approach: They propose a dataset which introduces social context information from social media . they propose 'humor recognition' task and 'horror evaluation task'
Outcome: The proposed model incorporates social context information from social media . it shows that it is efficient and can be used to evaluate humor in real life .
Commonality and Individuality! Integrating Humor Commonality with Speaker Individuality for Humor Recognition (2025.naacl-long)

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Challenge: Current methods for humor recognition focus on one aspect of humor commonalities, ignoring the multifaceted nature of humor.
Approach: They propose a commonality and individuality incorporated network for humor recognition that integrates multifaceted humor commonalities with speaker individuality.
Outcome: The proposed model integrates multifaceted humor commonalities with speaker individuality to deepen the understanding of humor expressions.

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