Exploring large corpora can generate useful discoveries but is time-consuming for humans.
We formulate a new task, D5, that automatically discovers differences between two large …

Despite recent advances in information retrieval and natural language processing, rhetorical
devices that exploit ambiguity or subvert linguistic rules remain a challenge for such …

This paper describes the SemEval-2020 shared task" Assessing Humor in Edited News
Headlines." The task's dataset contains news headlines in which short edits were applied to …

What are the agenda-setting effects between the news media and its audience regarding
organic food? This longitudinal text-mining study investigates the relationship between …

Creativity is an inherently human skill, and thus one of the goals of Artificial Intelligence.
Specifically, linguistic computational creativity deals with the autonomous generation of …

We provide a comprehensive overview of existing systems for the computational generation
of verbal humor in the form of jokes and short humorous texts. Considering linguistic humor …

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 study, we focus on automatic humor detection, a highly relevant task for
conversational AI. To date, there are several English datasets for this task, but little research …

As humans, we experience a wide range of feelings and reactions. One of these is laughter,
often related to a personal sense of humor and the perception of funny content. Due to its …

Humor is a crucial part of human communication. Understanding humor and generating
humorous responses in dialogue can provide natural and empathic human-computer …