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Abstract:Humor is a defining characteristic of human beings. Our goal is to develop methods that automatically detect humorous statements and rank them on a continuous scale. In this paper we report on results using a Language Model approach, and outline our plans for using methods from Deep Learning.
* 3 pages, Appears in the Proceedings of the Women and Underrepresented
Minorities in Natural Language Processing Workshop (WiNLP-2017), July 30,
2017, Vancouver, BC