Technologies That Make You Smile: Adding Humor to Text-Based Applications

Description:

Article discussing technologies that make people smile and adding humor to text-based applications.

Creator(s):
Creation Date: 2006  
Partner(s):
UNT College of Engineering
Collection(s):
UNT Scholarly Works
Usage:
Total Uses: 518
Past 30 days: 16
Yesterday: 0
Creator (Author):
Mihalcea, Rada, 1974-

University of North Texas

Creator (Author):
Strapparava, Carlo, 1962-

Fondazione Bruno Kessler

Publisher Info:
Publisher Name: IEEE Computer Society
Place of Publication: [Washington, D.C.]
Date(s):
  • Creation: 2006
Description:

Article discussing technologies that make people smile and adding humor to text-based applications.

Degree:
Note:

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?

Physical Description:

7 p.

Language(s):
Subject(s):
Keyword(s): computational linguistics | entertainment | natural languages | text analysis | humor recognition
Source: IEEE Intelligent Systems, 2006. Washington DC: Institute of Electrical and Electronics Engineers (IEEE) Computer Society, pp. 34-41
Partner:
UNT College of Engineering
Collection:
UNT Scholarly Works
Identifier:
  • ARK: ark:/67531/metadc30985
Resource Type: Article
Format: Text
Rights:
Access: Public
Citation:
Publication Title: IEEE Intelligent Systems
Volume: 23
Issue: 5
Page Start: 34
Page End: 41
Peer Reviewed: Yes