<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="krzyminski-2023-take">
    <titleInfo>
        <title>Take the Most out of Text Data Augmentation Strategies For Intent Clustering And Induction Based on DSTC 11 Track 2</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Mikołaj</namePart>
        <namePart type="family">Krzymiński</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2023-09</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 19th Annual Meeting of the Young Reseachers’ Roundtable on Spoken Dialogue Systems</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Vojtech</namePart>
            <namePart type="family">Hudecek</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Patricia</namePart>
            <namePart type="family">Schmidtova</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Tanvi</namePart>
            <namePart type="family">Dinkar</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Javier</namePart>
            <namePart type="family">Chiyah-Garcia</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Weronika</namePart>
            <namePart type="family">Sieinska</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Prague, Czechia</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>A brief introduction to author’s keyinterests and research topics which are: multimodal dialogue systems and impact of data augmentation to NLU performance. In addition to that the author shares his biography and view on the future of dialogue assistants.</abstract>
    <identifier type="citekey">krzyminski-2023-take</identifier>
    <location>
        <url>https://aclanthology.org/2023.yrrsds-1.17</url>
    </location>
    <part>
        <date>2023-09</date>
        <extent unit="page">
            <start>47</start>
            <end>48</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Take the Most out of Text Data Augmentation Strategies For Intent Clustering And Induction Based on DSTC 11 Track 2
%A Krzymiński, Mikołaj
%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 krzyminski-2023-take
%X A brief introduction to author’s keyinterests and research topics which are: multimodal dialogue systems and impact of data augmentation to NLU performance. In addition to that the author shares his biography and view on the future of dialogue assistants.
%U https://aclanthology.org/2023.yrrsds-1.17
%P 47-48

Markdown (Informal)

[Take the Most out of Text Data Augmentation Strategies For Intent Clustering And Induction Based on DSTC 11 Track 2](https://aclanthology.org/2023.yrrsds-1.17) (Krzymiński, YRRSDS-WS 2023)

• Take the Most out of Text Data Augmentation Strategies For Intent Clustering And Induction Based on DSTC 11 Track 2 (Krzymiński, YRRSDS-WS 2023)

ACL

• Mikołaj Krzymiński. 2023. Take the Most out of Text Data Augmentation Strategies For Intent Clustering And Induction Based on DSTC 11 Track 2. In Proceedings of the 19th Annual Meeting of the Young Reseachers' Roundtable on Spoken Dialogue Systems, pages 47–48, Prague, Czechia. Association for Computational Linguistics.