For a humorous tweet, this task is to predict the mechanism by which the tweet conveys humor from a predefined set of categories:
- Absurd: Humor comes from a logical inconsistency in the reasoning.
- Analogy: It is a comparison between dissimilar elements.
- Embarrassment: In the punchline one of the participants shames or embarrasses another one.
- Exaggeration: There is a situation or comparison that is exaggerated.
- Insults: There are insults to the characters in the joke or to real life people.
- Irony: They say something but mean the opposite, or they describe a contradictory situation.
- Misunderstanding: Humor comes from a participant understanding a question or a situation wrong.
- Parody: The text is similar to another known text or work (for example a song, a saying, or a movie dialog) but it is modified to make it humorous.
- Reference: It describes a real life situation, generally mundane, that the reader might relate to or not, but when the reader does identify with the situation it results in a humorous effect .
- Stereotype: Humor comes from using a social group, ethnicity or profession to remark on a stereotypical characteristic.
- Unmasking: Humor comes from a character acting in a certain way and later showing that their intentions or characteristics were different than initially thought.
- Wordplay: Uses word ambiguity, made up words or combinations of words to give a humorous sense.
Publication
Luis Chiruzzo, Santiago Castro, Santiago Góngora, Aiala Rosa, J. A. Meaney, Rada Mihalcean(2021) Overview of HAHA at IberLEF 2021: Detecting, Rating and Analyzing Humor in Spanish. Procesamiento del Lenguaje Natural, Revista nº 67, septiembre de 2021, pp. 257-268.
Competition
Language
Spanish
NLP topic
Abstract task
Dataset
Year
2021
Publication link
Ranking metric
Macro F1

