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    <abstract>This paper describes the winning system for SemEval-2017 Task 6: #HashtagWars: Learning a Sense of Humor. Humor detection has up until now been predominantly addressed using feature-based approaches. Our system utilizes recurrent deep learning methods with dense embeddings to predict humorous tweets from the @midnight show #HashtagWars. In order to include both meaning and sound in the analysis, GloVe embeddings are combined with a novel phonetic representation to serve as input to an LSTM component. The output is combined with a character-based CNN model, and an XGBoost component in an ensemble model which achieves 0.675 accuracy on the evaluation data.</abstract>
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%0 Conference Proceedings
%T HumorHawk at SemEval-2017 Task 6: Mixing Meaning and Sound for Humor Recognition
%A Donahue, David
%A Romanov, Alexey
%A Rumshisky, Anna
%Y Bethard, Steven
%Y Carpuat, Marine
%Y Apidianaki, Marianna
%Y Mohammad, Saif M.
%Y Cer, Daniel
%Y Jurgens, David
%S Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
%D 2017
%8 August
%I Association for Computational Linguistics
%C Vancouver, Canada
%F donahue-etal-2017-humorhawk
%X This paper describes the winning system for SemEval-2017 Task 6: #HashtagWars: Learning a Sense of Humor. Humor detection has up until now been predominantly addressed using feature-based approaches. Our system utilizes recurrent deep learning methods with dense embeddings to predict humorous tweets from the @midnight show #HashtagWars. In order to include both meaning and sound in the analysis, GloVe embeddings are combined with a novel phonetic representation to serve as input to an LSTM component. The output is combined with a character-based CNN model, and an XGBoost component in an ensemble model which achieves 0.675 accuracy on the evaluation data.
%R 10.18653/v1/S17-2010
%U https://aclanthology.org/S17-2010
%U https://doi.org/10.18653/v1/S17-2010
%P 98-102

Markdown (Informal)

[HumorHawk at SemEval-2017 Task 6: Mixing Meaning and Sound for Humor Recognition](https://aclanthology.org/S17-2010) (Donahue et al., SemEval 2017)

• HumorHawk at SemEval-2017 Task 6: Mixing Meaning and Sound for Humor Recognition (Donahue et al., SemEval 2017)

ACL

• David Donahue, Alexey Romanov, and Anna Rumshisky. 2017. HumorHawk at SemEval-2017 Task 6: Mixing Meaning and Sound for Humor Recognition. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pages 98–102, Vancouver, Canada. Association for Computational Linguistics.