Papers with humour-rating

    1 papers
    “So You Think You’re Funny?”: Rating the Humour Quotient in Standup Comedy (2021.emnlp-main)

    Copied to clipboard

    Challenge: Existing datasets for humour classification are limited due to the subjectivity of the content and the multiple interpretations of the data.
    Approach: They propose to annotate a multi-modal humour-annotated dataset using stand-up comedy clips and compute a humor quotient using the audience's laughter.
    Outcome: The proposed scoring mechanism is validated by comparing with manual scoring methods and achieves an accuracy of 0.813 in terms of QWK.

    What is GenGO?

    GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

    Information

    About
    Limitations