Papers by Wenbo Shang

2 papers
MUCH: A Multimodal Corpus Construction for Conversational Humor Recognition Based on Chinese Sitcom (2024.lrec-main)

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Challenge: Existing multimodal corpora for conversational humor are coarse-grained and insufficient to support the conversational comprehension task.
Approach: They constructed a multimodal humor corpus based on a Chinese sitcom and used both unimodal and multimodal methods to test the corpus.
Outcome: The proposed method outperforms unimodal and multimodal methods in the evaluation of a Chinese sitcom for conversational humor recognition.
“I Know Who You Are”: Character-Based Features for Conversational Humor Recognition in Chinese (2022.findings-emnlp)

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Challenge: a recent study has focused on how to recognize punchlines from dialogues, but has neglected character information.
Approach: They propose a character-fusion conversational humor recognition model that uses character information to recognize punchlines from dialogue.
Outcome: The proposed model improves performance on Chinese sitcoms corpus and punchline identification.

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