<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="yenice-etal-2022-introducing">
    <titleInfo>
        <title>Introducing StarDust: A UD-based Dependency Annotation Tool</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Arife</namePart>
        <namePart type="given">B</namePart>
        <namePart type="family">Yenice</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Neslihan</namePart>
        <namePart type="family">Cesur</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Aslı</namePart>
        <namePart type="family">Kuzgun</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Olcay</namePart>
        <namePart type="given">Taner</namePart>
        <namePart type="family">Yıldız</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2022-06</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 16th Linguistic Annotation Workshop (LAW-XVI) within LREC2022</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Sameer</namePart>
            <namePart type="family">Pradhan</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Sandra</namePart>
            <namePart type="family">Kuebler</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>European Language Resources Association</publisher>
            <place>
                <placeTerm type="text">Marseille, France</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>This paper aims to introduce StarDust, a new, open-source annotation tool designed for NLP studies. StarDust is designed specifically to be intuitive and simple for the annotators while also supporting the annotation of multiple languages with different morphological typologies, e.g. Turkish and English. This demonstration will mainly focus on our UD-based annotation tool for dependency syntax. Linked to a morphological analyzer, the tool can detect certain annotator mistakes and limit undesired dependency relations as well as offering annotators a quick and effective annotation process thanks to its new simple interface. Our tool can be downloaded from the Github.</abstract>
    <identifier type="citekey">yenice-etal-2022-introducing</identifier>
    <location>
        <url>https://aclanthology.org/2022.law-1.9</url>
    </location>
    <part>
        <date>2022-06</date>
        <extent unit="page">
            <start>79</start>
            <end>84</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Introducing StarDust: A UD-based Dependency Annotation Tool
%A Yenice, Arife B.
%A Cesur, Neslihan
%A Kuzgun, Aslı
%A Yıldız, Olcay Taner
%Y Pradhan, Sameer
%Y Kuebler, Sandra
%S Proceedings of the 16th Linguistic Annotation Workshop (LAW-XVI) within LREC2022
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F yenice-etal-2022-introducing
%X This paper aims to introduce StarDust, a new, open-source annotation tool designed for NLP studies. StarDust is designed specifically to be intuitive and simple for the annotators while also supporting the annotation of multiple languages with different morphological typologies, e.g. Turkish and English. This demonstration will mainly focus on our UD-based annotation tool for dependency syntax. Linked to a morphological analyzer, the tool can detect certain annotator mistakes and limit undesired dependency relations as well as offering annotators a quick and effective annotation process thanks to its new simple interface. Our tool can be downloaded from the Github.
%U https://aclanthology.org/2022.law-1.9
%P 79-84

Markdown (Informal)

[Introducing StarDust: A UD-based Dependency Annotation Tool](https://aclanthology.org/2022.law-1.9) (Yenice et al., LAW 2022)

• Introducing StarDust: A UD-based Dependency Annotation Tool (Yenice et al., LAW 2022)

ACL

• Arife B. Yenice, Neslihan Cesur, Aslı Kuzgun, and Olcay Taner Yıldız. 2022. Introducing StarDust: A UD-based Dependency Annotation Tool. In Proceedings of the 16th Linguistic Annotation Workshop (LAW-XVI) within LREC2022, pages 79–84, Marseille, France. European Language Resources Association.