Title :
Technologies That Make You Smile: Adding Humor to Text-Based Applications
Author :
Mihalcea, Rada ; Strapparava, Carlo
Author_Institution :
Dept. of Comput. Sci., North Texas Univ., Denton, TX
Abstract :
Natural language´s creative genres are traditionally considered to be outside the scope of computational modeling. Computational linguists have paid little attention to humor in particular because it is puzzling by nature. However, given the importance of humor in our daily lives and computers in our work and entertainment, studies related to computational humor will become increasingly significant in fields such as human-computer interaction, intelligent interactive entertainment, and computer-assisted education. In this article, we explore computational approaches´ applicability to the recognition and use of verbally expressed humor. Particularly, we focus on three important research questions related to this problem: Can we automatically gather large collections of humorous texts? Can we automatically recognize humor in text? And can we automatically insert humorous add-ons into existing applications?
Keywords :
computational linguistics; entertainment; natural languages; text analysis; automatic humorous text recognition; computational humor; computational linguistics; humorous add-ons; natural language creative genres; text-based applications; verbally expressed humor; Animal structures; Computational intelligence; Computational modeling; Computer science education; HTML; Rhetoric; Text recognition; Training data; Web pages; Web search; computational humor; humor in computer applications; humor recognition; jokes; one-liners;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2006.104