This paper presents our submission to SemEval-2017 Task 6: #HashtagWars: Learning a Sense of Humor. There are two subtasks: A. Pairwise Comparison, and B. Semi-Ranking. Our assumption is that the distribution of humorous and non-humorous texts in real life language is naturally imbalanced. Using Naïve Bayes Multinomial with standard text-representation features, we approached Subtask B as a seq...

Humor is one of the most interesting and puzzling aspects of human behavior. Despite the attention it has received in fields such as philosophy, linguistics, and psychology, there have been only few attempts to create computational models for humor recognition or generation. In this paper, we bring empirical evidence that computational approaches can be successfully applied to the task of humor...

Humor is one of the most interesting and puzzling aspects of human behavior. Despite the attention it has received in fields such as philosophy, linguistics, and psychology, there have been only few attempts to create computational models for humor recognition or generation. In this article, we bring empirical evidence that computational approaches can be successfully applied to the task of hum...

Considering the importance of public speaking skills, a system that can predict where audiences might laugh during a talk can be helpful to a person preparing for a presentation. We investigated the possibility that a state-of-the-art humor recognition system could be used to detect sentences that induce laughters. In this study, we used TED talks and audience laughters during those talks as da...

Humor is an essential component in personal communication. How to create computational models to discover the structures behind humor, recognize humor and even extract humor anchors remains a challenge. In this work, we first identify several semantic structures behind humor and design sets of features for each structure, and next employ a computational approach to recognize humor. Furthermore,...

In this paper, we focus on humor facilitators, a type of humorous agents meant to act as mediators between unexpected events occurring in smart environments and the human agents. More specifically, we present a case study in which fictional ideation and narrative dramatization are combined to achieve humor facilitation. We implemented a test bed for the simulation of an interactive environment....