Automatic Narrative Humor Recognition Method Using Machine Learning and Semantic Similarity Based Punchline Detection

Rzepka, Rafal; Amaya, Yusuke; Yatsu, Motoki et al.

International Workshop on Chance Discovery, Data Synthesis and Data Market in IJCAI2015, 2015

Permalink : https://hdl.handle.net/2115/63638

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アクセス権	open access
URI	https://hdl.handle.net/2115/63638
タイトル	Automatic Narrative Humor Recognition Method Using Machine Learning and Semantic Similarity Based Punchline Detection
著者	Rzepka, Rafal ; Amaya, Yusuke ; Yatsu, Motoki ; Araki, Kenji
e-Rad_Researcher 80396316 著者名 Rzepka, Rafal
著者名 Amaya, Yusuke
著者名 Yatsu, Motoki
著者名 Araki, Kenji
言語	英語
発行日	2015-07-26
出版者	IJCAI
収録物名	International Workshop on Chance Discovery, Data Synthesis and Data Market in IJCAI2015
抄録	In this paper we introduce our method for recognizing jokes written in Japanese language by where the punchline is detected using WordNet. The results showed that when compared to method based on Bayesian posterior probability baseline, the pro- posed system achieved 5.3 point increase in recall and 2.6 point increase in classification accuracy. Our work1 is the first challenge to detect humor in Japanese language and this ability can be utilized not only for more natural reactions while perceiving user’s utterance, but also for discovering funny stories to be uttered by an agent.
会議記述	会議名 International Workshop on Chance Discovery, Data Synthesis and Data Market in IJCAI2015 開催地 Buenos Aires 開催国 Argentina
資源タイプ	会議発表論文
出版タイプ	Version of Record