Justine Kao

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About

Justine Kao is a pioneering researcher at the intersection of computational linguistics and cognitive science, best known for her groundbreaking work on modeling humor and narrative understanding. Her most influential contribution is the development of a computational model of humor in puns, detailed in her highly cited 2013 paper "The Funny Thing About Incongruity." This work formalized the incongruity theory of humor—the idea that humor arises from perceiving a situation from incompatible viewpoints—and demonstrated that machines could be taught to recognize linguistic humor. With 17 citations, this paper remains a foundational reference in computational humor research. Kao's broader research explores how artificial intelligence can understand narrative structure, character relationships, and emotional arcs in stories. Her notable achievements include bridging the gap between cognitive theories of humor and natural language processing, opening new avenues for creating more engaging and human-like AI systems. For students and researchers, Kao's work offers a compelling example of how interdisciplinary approaches can tackle complex human phenomena like humor, making her a key figure in the growing field of computational creativity.