<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="chen-etal-2025-cococorpus">
    <titleInfo>
        <title>Cococorpus: a corpus of copredication</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Long</namePart>
        <namePart type="family">Chen</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Deniz</namePart>
        <namePart type="given">Ekin</namePart>
        <namePart type="family">Yavaş</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Laura</namePart>
        <namePart type="family">Kallmeyer</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Rainer</namePart>
        <namePart type="family">Osswald</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2025-09</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 21st Joint ACL - ISO Workshop on Interoperable Semantic Annotation (ISA-21)</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Bunt</namePart>
            <namePart type="family">Harry</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Düsseldorf, Germany</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
        <identifier type="isbn">979-8-89176-319-7</identifier>
    </relatedItem>
    <abstract>While copredication has been widely investigated as a linguistic phenomenon, there is a notable lack of systematically annotated data to support empirical and quantitative research. This paper gives an overview of the ongoing construction of Cococorpus, a corpus of copredication, describes the annotation methodology and guidelines, and presents preliminary findings from the annotated data. Currently, the corpus contains 1500 gold-standard manual annotations including about 200 sentences with copredications. The annotated data not only supports the empirical validation for existing theories of copredication, but also reveals regularities that may inform theoretical development.</abstract>
    <identifier type="citekey">chen-etal-2025-cococorpus</identifier>
    <location>
        <url>https://aclanthology.org/2025.isa-1.4/</url>
    </location>
    <part>
        <date>2025-09</date>
        <extent unit="page">
            <start>31</start>
            <end>40</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Cococorpus: a corpus of copredication
%A Chen, Long
%A Yavaş, Deniz Ekin
%A Kallmeyer, Laura
%A Osswald, Rainer
%Y Harry, Bunt
%S Proceedings of the 21st Joint ACL - ISO Workshop on Interoperable Semantic Annotation (ISA-21)
%D 2025
%8 September
%I Association for Computational Linguistics
%C Düsseldorf, Germany
%@ 979-8-89176-319-7
%F chen-etal-2025-cococorpus
%X While copredication has been widely investigated as a linguistic phenomenon, there is a notable lack of systematically annotated data to support empirical and quantitative research. This paper gives an overview of the ongoing construction of Cococorpus, a corpus of copredication, describes the annotation methodology and guidelines, and presents preliminary findings from the annotated data. Currently, the corpus contains 1500 gold-standard manual annotations including about 200 sentences with copredications. The annotated data not only supports the empirical validation for existing theories of copredication, but also reveals regularities that may inform theoretical development.
%U https://aclanthology.org/2025.isa-1.4/
%P 31-40

Markdown (Informal)

[Cococorpus: a corpus of copredication](https://aclanthology.org/2025.isa-1.4/) (Chen et al., ISA 2025)

• Cococorpus: a corpus of copredication (Chen et al., ISA 2025)

ACL

• Long Chen, Deniz Ekin Yavaş, Laura Kallmeyer, and Rainer Osswald. 2025. Cococorpus: a corpus of copredication. In Proceedings of the 21st Joint ACL - ISO Workshop on Interoperable Semantic Annotation (ISA-21), pages 31–40, Düsseldorf, Germany. Association for Computational Linguistics.