Satire is an attractive subject in deception detection research: it is a type of deception that
intentionally incorporates cues revealing its own deceptiveness. Whereas other types of …

The research described in this paper is focused on analyzing two playful domains of
language: humor and irony, in order to identify key values components for their automatic …

This paper presents the results of the HAHA task at IberLEF 2019, the second edition of the
challenge on automatic humor recognition and analysis in Spanish. The challenge consists …

Computational humor recognition is considered to be one of the hardest tasks in natural
language processing (NLP) since humor is such a particularly complex emotion. There are …

In this paper we report our participation in the 2019 HAHA task where a corpus of crowd-
annotated tweets is provided and required to tell if a tweet is a joke or not and predict a …

This paper presents the HAHA task at IberEval 2018, the first challenge on humor
appreciation in the Spanish language. The challenge proposes two tasks related to humor in …

In this paper, we aim at learning the relationships and similarities of a variety of tasks, such
as humour detection, sarcasm detection, offensive content detection, motivational content …

Computational Humor involves several tasks, such as humor recognition, humor generation,
and humor scoring, for which it is useful to have human-curated data. In this work we present …

El objetivo de esta investigación es utilizar distintas características para representar los
textos humorísticos y detectar cuáles son las que mejor distinguen los chistes no ofensivos …

Natural Language Understanding becomes very hard when creativity and figurative
language are used in social communication. Humor constitutes an illustrative example of …