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    <titleInfo>
        <title>SQL Comment Generation and Additional Research Interests</title>
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    <name type="personal">
        <namePart type="given">Alyssa</namePart>
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            <title>Proceedings of the 19th Annual Meeting of the Young Reseachers’ Roundtable on Spoken Dialogue Systems</title>
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        <name type="personal">
            <namePart type="given">Vojtech</namePart>
            <namePart type="family">Hudecek</namePart>
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        <name type="personal">
            <namePart type="given">Patricia</namePart>
            <namePart type="family">Schmidtova</namePart>
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        <name type="personal">
            <namePart type="given">Tanvi</namePart>
            <namePart type="family">Dinkar</namePart>
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        <name type="personal">
            <namePart type="given">Javier</namePart>
            <namePart type="family">Chiyah-Garcia</namePart>
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            <namePart type="given">Weronika</namePart>
            <namePart type="family">Sieinska</namePart>
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            <publisher>Association for Computational Linguistics</publisher>
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    <abstract>My research interests focus on natural language generation (NLG) regarding how to make system outputs more intuitive and comprehensible for the human-user and conversational entrainment and alignment from the perspective of how dialogue systems could or should personalize its responses to the human user. As it relates to NLG, my current work focuses on training a system to auto-generate comments for SQL queries produced by a Text-to-SQL parser. The goal is to make the connection between technical SQL language and the user’s question more transparent. My linguistic training lies primarily at the intersection of computational and socio-linguistics. As such, my curiosities in conversational entrainment and alignment focus on the extent to which conversational agents can or should adjust their language based on human characteristics such as age, race, or gender.</abstract>
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%0 Conference Proceedings
%T SQL Comment Generation and Additional Research Interests
%A Allen, Alyssa
%Y Hudecek, Vojtech
%Y Schmidtova, Patricia
%Y Dinkar, Tanvi
%Y Chiyah-Garcia, Javier
%Y Sieinska, Weronika
%S Proceedings of the 19th Annual Meeting of the Young Reseachers’ Roundtable on Spoken Dialogue Systems
%D 2023
%8 September
%I Association for Computational Linguistics
%C Prague, Czechia
%F allen-2023-sql
%X My research interests focus on natural language generation (NLG) regarding how to make system outputs more intuitive and comprehensible for the human-user and conversational entrainment and alignment from the perspective of how dialogue systems could or should personalize its responses to the human user. As it relates to NLG, my current work focuses on training a system to auto-generate comments for SQL queries produced by a Text-to-SQL parser. The goal is to make the connection between technical SQL language and the user’s question more transparent. My linguistic training lies primarily at the intersection of computational and socio-linguistics. As such, my curiosities in conversational entrainment and alignment focus on the extent to which conversational agents can or should adjust their language based on human characteristics such as age, race, or gender.
%U https://aclanthology.org/2023.yrrsds-1.6
%P 18-20

Markdown (Informal)

[SQL Comment Generation and Additional Research Interests](https://aclanthology.org/2023.yrrsds-1.6) (Allen, YRRSDS-WS 2023)

• SQL Comment Generation and Additional Research Interests (Allen, YRRSDS-WS 2023)

ACL

• Alyssa Allen. 2023. SQL Comment Generation and Additional Research Interests. In Proceedings of the 19th Annual Meeting of the Young Reseachers' Roundtable on Spoken Dialogue Systems, pages 18–20, Prague, Czechia. Association for Computational Linguistics.