An implemented model of punning riddles

Graeme Ritchie (Department of Artificial Intelligence; Kim Binsted (Department of Artificial Intelligence; University of Edinburgh)

An implemented model of punning riddles

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arxiv cmp-lg/9406022 v1 submitted 1994-06-13 cmp-lg cs.CL

Kim Binsted (Department of Artificial Intelligence , University of Edinburgh) , Graeme Ritchie (Department of Artificial Intelligence This is my paper

classification cmp-lgcs.CL

keywords jokesmodelimplementedjapejokepunningriddlessome

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In this paper, we discuss a model of simple question-answer punning, implemented in a program, JAPE, which generates riddles from humour-independent lexical entries. The model uses two main types of structure: schemata, which determine the relationships between key words in a joke, and templates, which produce the surface form of the joke. JAPE succeeds in generating pieces of text that are recognizably jokes, but some of them are not very good jokes. We mention some potential improvements and extensions, including post-production heuristics for ordering the jokes according to quality.

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