That's What She Said: Double Entendre Identification.

HLT '11: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2(2011)

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摘要
Humor identification is a hard natural language understanding problem. We identify a subproblem --- the "that's what she said" problem --- with two distinguishing characteristics: (1) use of nouns that are euphemisms for sexually explicit nouns and (2) structure common in the erotic domain. We address this problem in a classification approach that includes features that model those two characteristics. Experiments on web data demonstrate that our approach improves precision by 12% over baseline techniques that use only word-based features.
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关键词
classification approach,Humor identification,baseline technique,distinguishing characteristic,erotic domain,explicit noun,hard natural language understanding,structure common,web data,word-based feature,entendre identification
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