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.
For example, in the problem of "That's what she said" REF , characteristics that involves the using of nouns that are euphemisms for sexually explicit nouns or structures common in the erotic domain might probably give clues to potential humor anchors.
That's What She Said: Double Entendre Identification
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies
Computer Science