<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="scheffler-etal-2019-annotating">
    <titleInfo>
        <title>Annotating Shallow Discourse Relations in Twitter Conversations</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Tatjana</namePart>
        <namePart type="family">Scheffler</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Berfin</namePart>
        <namePart type="family">Aktaş</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Debopam</namePart>
        <namePart type="family">Das</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Manfred</namePart>
        <namePart type="family">Stede</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2019-06</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Amir</namePart>
            <namePart type="family">Zeldes</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Debopam</namePart>
            <namePart type="family">Das</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Erick</namePart>
            <namePart type="given">Maziero</namePart>
            <namePart type="family">Galani</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Juliano</namePart>
            <namePart type="given">Desiderato</namePart>
            <namePart type="family">Antonio</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Mikel</namePart>
            <namePart type="family">Iruskieta</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Minneapolis, MN</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>We introduce our pilot study applying PDTB-style annotation to Twitter conversations. Lexically grounded coherence annotation for Twitter threads will enable detailed investigations of the discourse structure of conversations on social media. Here, we present our corpus of 185 threads and annotation, including an inter-annotator agreement study. We discuss our observations as to how Twitter discourses differ from written news text wrt. discourse connectives and relations. We confirm our hypothesis that discourse relations in written social media conversations are expressed differently than in (news) text. We find that in Twitter, connective arguments frequently are not full syntactic clauses, and that a few general connectives expressing EXPANSION and CONTINGENCY make up the majority of the explicit relations in our data.</abstract>
    <identifier type="citekey">scheffler-etal-2019-annotating</identifier>
    <identifier type="doi">10.18653/v1/W19-2707</identifier>
    <location>
        <url>https://aclanthology.org/W19-2707</url>
    </location>
    <part>
        <date>2019-06</date>
        <extent unit="page">
            <start>50</start>
            <end>55</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Annotating Shallow Discourse Relations in Twitter Conversations
%A Scheffler, Tatjana
%A Aktaş, Berfin
%A Das, Debopam
%A Stede, Manfred
%Y Zeldes, Amir
%Y Das, Debopam
%Y Galani, Erick Maziero
%Y Antonio, Juliano Desiderato
%Y Iruskieta, Mikel
%S Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019
%D 2019
%8 June
%I Association for Computational Linguistics
%C Minneapolis, MN
%F scheffler-etal-2019-annotating
%X We introduce our pilot study applying PDTB-style annotation to Twitter conversations. Lexically grounded coherence annotation for Twitter threads will enable detailed investigations of the discourse structure of conversations on social media. Here, we present our corpus of 185 threads and annotation, including an inter-annotator agreement study. We discuss our observations as to how Twitter discourses differ from written news text wrt. discourse connectives and relations. We confirm our hypothesis that discourse relations in written social media conversations are expressed differently than in (news) text. We find that in Twitter, connective arguments frequently are not full syntactic clauses, and that a few general connectives expressing EXPANSION and CONTINGENCY make up the majority of the explicit relations in our data.
%R 10.18653/v1/W19-2707
%U https://aclanthology.org/W19-2707
%U https://doi.org/10.18653/v1/W19-2707
%P 50-55

Markdown (Informal)

[Annotating Shallow Discourse Relations in Twitter Conversations](https://aclanthology.org/W19-2707) (Scheffler et al., NAACL 2019)

• Annotating Shallow Discourse Relations in Twitter Conversations (Scheffler et al., NAACL 2019)

ACL

• Tatjana Scheffler, Berfin Aktaş, Debopam Das, and Manfred Stede. 2019. Annotating Shallow Discourse Relations in Twitter Conversations. In Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019, pages 50–55, Minneapolis, MN. Association for Computational Linguistics.