The nature of statistical learning theory
The nature of statistical learning theory
A re-examination of text categorization methods
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
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Multimedia Tools and Applications
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ECML '98 Proceedings of the 10th European Conference on Machine Learning
RCV1: A New Benchmark Collection for Text Categorization Research
The Journal of Machine Learning Research
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IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Intelligent Interactive Entertainment Grand Challenges
IEEE Intelligent Systems
The Multidisciplinary Facets of Research on Humour
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
Some Experiments in Humour Recognition Using the Italian Wikiquote Collection
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
Joke retrieval: recognizing the same joke told differently
Proceedings of the 17th ACM conference on Information and knowledge management
Linguistic Ethnography: Identifying Dominant Word Classes in Text
CICLing '09 Proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing
Characterizing Humour: An Exploration of Features in Humorous Texts
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
An Analysis of the Impact of Ambiguity on Automatic Humour Recognition
TSD '09 Proceedings of the 12th International Conference on Text, Speech and Dialogue
The importance of precision in humour classification
IDEAL'11 Proceedings of the 12th international conference on Intelligent data engineering and automated learning
Get your jokes right: ask the crowd
MEDI'11 Proceedings of the First international conference on Model and data engineering
The impact of semantic and morphosyntactic ambiguity on automatic humour recognition
NLDB'09 Proceedings of the 14th international conference on Applications of Natural Language to Information Systems
A multidimensional approach for detecting irony in Twitter
Language Resources and Evaluation
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Humor is an aspect of human behavior that many people consider essential for interpersonal communication. Despite this, research in human-computer interaction has almost completely neglected aspects concerned with the automatic recognition, generation, or use of humor. This article addresses three important research questions related to the recognition and use of verbally expressed humor, demonstrating empirically that computational approaches can be successfully applied to these tasks. The research demonstrates that it is possible to automatically construct a very large collection of humorous texts, that automatic classification techniques can be effectively used to distinguish between humorous and nonhumorous texts, and that an automatic method for the selection and addition of contextualized humorous text can improve the user experience and overall quality of two widely used computer based applications.This article is part of a special issue on interactive entertainment.