<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="shah-etal-2022-enhanced">
    <titleInfo>
        <title>Enhanced Distant Supervision with State-Change Information for Relation Extraction</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Jui</namePart>
        <namePart type="family">Shah</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Dongxu</namePart>
        <namePart type="family">Zhang</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Sam</namePart>
        <namePart type="family">Brody</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Andrew</namePart>
        <namePart type="family">McCallum</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 Thirteenth Language Resources and Evaluation Conference</title>
        </titleInfo>
        <originInfo>
            <publisher>European Language Resources Association</publisher>
            <place>
                <placeTerm type="text">Marseille, France</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>In this work, we introduce a method for enhancing distant supervision with state-change information for relation extraction. We provide a training dataset created via this process, along with manually annotated development and test sets. We present an analysis of the curation process and data, and compare it to standard distant supervision. We demonstrate that the addition of state-change information reduces noise when used for static relation extraction, and can also be used to train a relation-extraction system that detects a change of state in relations.</abstract>
    <identifier type="citekey">shah-etal-2022-enhanced</identifier>
    <location>
        <url>https://aclanthology.org/2022.lrec-1.597</url>
    </location>
    <part>
        <date>2022-06</date>
        <extent unit="page">
            <start>5573</start>
            <end>5579</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Enhanced Distant Supervision with State-Change Information for Relation Extraction
%A Shah, Jui
%A Zhang, Dongxu
%A Brody, Sam
%A McCallum, Andrew
%S Proceedings of the Thirteenth Language Resources and Evaluation Conference
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F shah-etal-2022-enhanced
%X In this work, we introduce a method for enhancing distant supervision with state-change information for relation extraction. We provide a training dataset created via this process, along with manually annotated development and test sets. We present an analysis of the curation process and data, and compare it to standard distant supervision. We demonstrate that the addition of state-change information reduces noise when used for static relation extraction, and can also be used to train a relation-extraction system that detects a change of state in relations.
%U https://aclanthology.org/2022.lrec-1.597
%P 5573-5579

Markdown (Informal)

[Enhanced Distant Supervision with State-Change Information for Relation Extraction](https://aclanthology.org/2022.lrec-1.597) (Shah et al., LREC 2022)

• Enhanced Distant Supervision with State-Change Information for Relation Extraction (Shah et al., LREC 2022)

ACL

• Jui Shah, Dongxu Zhang, Sam Brody, and Andrew McCallum. 2022. Enhanced Distant Supervision with State-Change Information for Relation Extraction. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 5573–5579, Marseille, France. European Language Resources Association.