Humor Detection
14 papers with code • 1 benchmarks • 4 datasets
Humor detection is the task of identifying comical or amusing elements.
Benchmarks
These leaderboards are used to track progress in Humor Detection
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Libraries
Use these libraries to find Humor Detection models and implementations
UR-FUNNY
Cards Against Humanity
Latest papers
A Crowd-Annotated Spanish Corpus for Humor Analysis
Computational Humor involves several tasks, such as humor recognition, humor generation, and humor scoring, for which it is useful to have human-curated data.
Is This a Joke? Detecting Humor in Spanish Tweets
While humor has been historically studied from a psychological, cognitive and linguistic standpoint, its study from a computational perspective is an area yet to be explored in Computational Linguistics.
XGBoost: A Scalable Tree Boosting System
In this paper, we describe a scalable end-to-end tree boosting system called XGBoost, which is used widely by data scientists to achieve state-of-the-art results on many machine learning challenges.
