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        <title>Building Dialogue Structure from Discourse Tree of a Question</title>
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    <name type="personal">
        <namePart type="given">Boris</namePart>
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            <title>Proceedings of the 2018 EMNLP Workshop SCAI: The 2nd International Workshop on Search-Oriented Conversational AI</title>
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        <name type="personal">
            <namePart type="given">Aleksandr</namePart>
            <namePart type="family">Chuklin</namePart>
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            <namePart type="given">Jeff</namePart>
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            <namePart type="given">Alexey</namePart>
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    <abstract>In this section we propose a reasoning-based approach to a dialogue management for a customer support chat bot. To build a dialogue scenario, we analyze the discourse tree (DT) of an initial query of a customer support dialogue that is frequently complex and multi-sentence. We then enforce rhetorical agreement between DT of the initial query and that of the answers, requests and responses. The chat bot finds answers, which are not only relevant by topic but also suitable for a given step of a conversation and match the question by style, communication means, experience level and other domain-independent attributes. We evaluate a performance of proposed algorithm in car repair domain and observe a 5 to 10% improvement for single and three-step dialogues respectively, in comparison with baseline approaches to dialogue management.</abstract>
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    <identifier type="doi">10.18653/v1/W18-5703</identifier>
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        <date>2018-10</date>
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%0 Conference Proceedings
%T Building Dialogue Structure from Discourse Tree of a Question
%A Galitsky, Boris
%A Ilvovsky, Dmitry
%Y Chuklin, Aleksandr
%Y Dalton, Jeff
%Y Kiseleva, Julia
%Y Borisov, Alexey
%Y Burtsev, Mikhail
%S Proceedings of the 2018 EMNLP Workshop SCAI: The 2nd International Workshop on Search-Oriented Conversational AI
%D 2018
%8 October
%I Association for Computational Linguistics
%C Brussels, Belgium
%F galitsky-ilvovsky-2018-building
%X In this section we propose a reasoning-based approach to a dialogue management for a customer support chat bot. To build a dialogue scenario, we analyze the discourse tree (DT) of an initial query of a customer support dialogue that is frequently complex and multi-sentence. We then enforce rhetorical agreement between DT of the initial query and that of the answers, requests and responses. The chat bot finds answers, which are not only relevant by topic but also suitable for a given step of a conversation and match the question by style, communication means, experience level and other domain-independent attributes. We evaluate a performance of proposed algorithm in car repair domain and observe a 5 to 10% improvement for single and three-step dialogues respectively, in comparison with baseline approaches to dialogue management.
%R 10.18653/v1/W18-5703
%U https://aclanthology.org/W18-5703
%U https://doi.org/10.18653/v1/W18-5703
%P 17-23

Markdown (Informal)

[Building Dialogue Structure from Discourse Tree of a Question](https://aclanthology.org/W18-5703) (Galitsky & Ilvovsky, EMNLP 2018)

• Building Dialogue Structure from Discourse Tree of a Question (Galitsky & Ilvovsky, EMNLP 2018)

ACL

• Boris Galitsky and Dmitry Ilvovsky. 2018. Building Dialogue Structure from Discourse Tree of a Question. In Proceedings of the 2018 EMNLP Workshop SCAI: The 2nd International Workshop on Search-Oriented Conversational AI, pages 17–23, Brussels, Belgium. Association for Computational Linguistics.