WordNet: a lexical database for English
Communications of the ACM
Parsing engineering and empirical robustness
Natural Language Engineering
Technologies That Make You Smile: Adding Humor to Text-Based Applications
IEEE Intelligent Systems
HAHAcronym: a computational humor system
ACLdemo '05 Proceedings of the ACL 2005 on Interactive poster and demonstration sessions
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
Recognizing Humor Without Recognizing Meaning
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
Characterizing Humour: An Exploration of Features in Humorous Texts
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
From humor recognition to irony detection: The figurative language of social media
Data & Knowledge Engineering
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Humour is one of the most amazing characteristics that defines us as human beings and social entities. Its study supposes a deep insight into several areas such as linguistics, psychology or philosophy. From the Natural Language Processing (NLP) perspective, recent researches have shown that humour can be automatically generated and recognized with some success. In this work we present a study carried out on a collection of English texts in order to investigate whether or not semantic and morphosyntactic ambiguities may be employed as features in the automatic humour recognition task. The results we have obtained show that it is possible to discriminate humorous from non humorous sentences through features like perplexity or sense dispersion.