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Don't Take it Personally: Analyzing Gender and Age Differences in Ratings of Online Humor
Computational humor detection systems rarely model the subjectivity of humor responses, or consider alternative reactions to humor - namely offense.
SemEval 2021 Task 7: HaHackathon, Detecting and Rating Humor and Offense
Our subtasks were binary humor detection, prediction of humor and offense ratings, and a novel controversy task: to predict if the variance in the humor ratings was higher than a specific threshold.
Smash at SemEval-2020 Task 7: Optimizing the Hyperparameters of ERNIE 2.0 for Humor Ranking and Rating
The use of pre-trained language models such as BERT and ULMFiT has become increasingly popular in shared tasks, due to their powerful language modelling capabilities.
Crossing the Line: Where do Demographic Variables Fit into Humor Detection?
Recent humor classification shared tasks have struggled with two issues: either the data comprises a highly constrained genre of humor which does not broadly represent humor, or the data is so indiscriminate that the inter-annotator agreement on its humor content is drastically low.
