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 …

Column Editor's note: Machine generation and comprehension of language is a difficult
enough task, but it's not even funny how difficult it is for a machine to produce and detect …

Despite significant advancements in computer vision, understanding complex scenes,
particularly those involving humor, remains a substantial challenge. This paper introduces …

The automation of humor detection is a complex task due to the semantic structure of the
textual content. In this paper, an automatic humor detection model named as DeepHumor is …

Humor is a fundamental aspect of human communication and cognition, as it plays a crucial
role in social engagement. Although theories about humor have evolved over centuries …

Large pre-trained transformer-based language models have revolutionized the field of
natural language processing in recent years. While BERT-like models perform exceptionally …

Humor, a culturally nuanced aspect of human language, poses challenges for computational
understanding and generation, especially in Chinese humor, which remains relatively …

Creativity is the ability to produce novel, useful, and surprising ideas, and has been widely
studied as a crucial aspect of human cognition. Machine creativity on the other hand has …

This research proposes a novel approach for de-tecting humor in code-mixed English-Urdu
(Roman Urdu) text. Our approach combines advanced deep learning algorithms, machine …