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A Taxonomy of Real-Life Questions and Answers in Dialogue

Maxime Amblard 1 Maria Boritchev 2 Marta Carletti 3 Lea Dieudonat 3 Yiting Tsai 3
1 SEMAGRAMME - Semantic Analysis of Natural Language
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
2 ENS Lyon - École normale supérieure - Lyon
3 IDMC - Institut des Sciences du Digital, Management et Cognition
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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https://hal.inria.fr/hal-02269609
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Submitted on : Friday, August 23, 2019 - 9:50:50 AM
Last modification on : Tuesday, April 14, 2020 - 3:59:22 PM
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  • HAL Id : hal-02269609, version 1

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ENS-LYON | CNRS | UNIV-LORRAINE | LORIA | LORIA-NLPKD | INRIA | UDL | IMPACT-OLKI

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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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