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A Taxonomy of Real-Life Questions and Answers in Dialogue

Abstract : We present a taxonomy of questions and answers based on real-life data extracted from spontaneous dialogue corpora. This classification allowed us to build a fine-grained annotation schema, which we applied to several languages: English, French, Italian and Chinese.
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Contributor : Maxime Amblard Connect in order to contact the contributor
Submitted on : Friday, August 23, 2019 - 9:50:50 AM
Last modification on : Wednesday, November 3, 2021 - 7:08:53 AM
Long-term archiving on: : Friday, January 10, 2020 - 11:23:32 PM


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  • HAL Id : hal-02269609, version 1


Maxime Amblard, Maria Boritchev, Marta Carletti, Lea Dieudonat, Yiting Tsai. A Taxonomy of Real-Life Questions and Answers in Dialogue. SemDial 2019 - LondonLogue - 23rd Workshop on the semantics and pragmatics of dialogue, Sep 2019, London, United Kingdom. ⟨hal-02269609⟩



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