Humor detection

Given a tweet, the task of humor detection is to determine if its content is humorous or not (intended humor by the author; i.e. a joke).

Publication
Luis Chiruzzo, Santiago Castro, Mathias Etcheverry, Diego Garat, Juan José Prada, Aiala Rosá (2019) Overview of HAHA at IberLEF 2019: Humor Analysis based on Human Annotation. Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2019)
Competition
HAHA 2019: Humor Analysis based on Human Annotation
Language
Spanish
NLP topic
processing humor
Abstract task
Classification
Dataset
HAHA
Year
2019
Publication link
http://ceur-ws.org/Vol-2421/H…
Ranking metric
F1

Task results

System Precision Recall F1 RMSE
adilism 0.7910 0.8520 0.8210 0.0000
Kevin & Hiromi 0.8020 0.8310 0.8160 0.0000
bfarzin 0.7820 0.8390 0.8100 0.0000
jamestjw 0.8040 0.8420 0.7980 0.0000
INGEOTEC 0.7580 0.8190 0.7880 0.0000

If you have published a result better than those on the list, send a message to odesia-comunicacion@lsi.uned.es indicating the result and the DOI of the article, along with a copy of it if it is not published openly.