{"id":714940,"date":"2020-12-31T05:17:38","date_gmt":"2020-12-31T13:17:38","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=714940"},"modified":"2020-12-31T05:17:38","modified_gmt":"2020-12-31T13:17:38","slug":"homophonic-pun-generation-with-lexically-constrained-rewriting","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/homophonic-pun-generation-with-lexically-constrained-rewriting\/","title":{"rendered":"Homophonic Pun Generation with Lexically Constrained Rewriting."},"content":{"rendered":"

Punning is a creative way to make conversation enjoyable and literary writing elegant. In this paper, we focus on the task of generating a pun sentence given a pair of homophones. We first find the constraint words supporting the semantic incongruity for a sentence. Then we rewrite the sentence with explicit positive and negative constraints. Our model achieves the state-of-the-art results in both automatic and human evaluations. We further make an error analysis and discuss the challenges for the computational pun models.<\/p>\n","protected":false},"excerpt":{"rendered":"

Punning is a creative way to make conversation enjoyable and literary writing elegant. In this paper, we focus on the task of generating a pun sentence given a pair of homophones. We first find the constraint words supporting the semantic incongruity for a sentence. Then we rewrite the sentence with explicit positive and negative constraints. 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