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        <title>Team Papelo at FEVEROUS: Multi-hop Evidence Pursuit</title>
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    <name type="personal">
        <namePart type="given">Christopher</namePart>
        <namePart type="family">Malon</namePart>
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        <dateIssued>2021-11</dateIssued>
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            <title>Proceedings of the Fourth Workshop on Fact Extraction and VERification (FEVER)</title>
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        <name type="personal">
            <namePart type="given">Rami</namePart>
            <namePart type="family">Aly</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Christos</namePart>
            <namePart type="family">Christodoulopoulos</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Oana</namePart>
            <namePart type="family">Cocarascu</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        </name>
        <name type="personal">
            <namePart type="given">Zhijiang</namePart>
            <namePart type="family">Guo</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        </name>
        <name type="personal">
            <namePart type="given">Arpit</namePart>
            <namePart type="family">Mittal</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Michael</namePart>
            <namePart type="family">Schlichtkrull</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">James</namePart>
            <namePart type="family">Thorne</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Andreas</namePart>
            <namePart type="family">Vlachos</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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            <publisher>Association for Computational Linguistics</publisher>
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    <abstract>We develop a system for the FEVEROUS fact extraction and verification task that ranks an initial set of potential evidence and then pursues missing evidence in subsequent hops by trying to generate it, with a “next hop prediction module” whose output is matched against page elements in a predicted article. Seeking evidence with the next hop prediction module continues to improve FEVEROUS score for up to seven hops. Label classification is trained on possibly incomplete extracted evidence chains, utilizing hints that facilitate numerical comparison. The system achieves .281 FEVEROUS score and .658 label accuracy on the development set, and finishes in second place with .259 FEVEROUS score and .576 label accuracy on the test set.</abstract>
    <identifier type="citekey">malon-2021-team</identifier>
    <identifier type="doi">10.18653/v1/2021.fever-1.5</identifier>
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        <url>https://aclanthology.org/2021.fever-1.5</url>
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    <part>
        <date>2021-11</date>
        <extent unit="page">
            <start>40</start>
            <end>49</end>
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%0 Conference Proceedings
%T Team Papelo at FEVEROUS: Multi-hop Evidence Pursuit
%A Malon, Christopher
%Y Aly, Rami
%Y Christodoulopoulos, Christos
%Y Cocarascu, Oana
%Y Guo, Zhijiang
%Y Mittal, Arpit
%Y Schlichtkrull, Michael
%Y Thorne, James
%Y Vlachos, Andreas
%S Proceedings of the Fourth Workshop on Fact Extraction and VERification (FEVER)
%D 2021
%8 November
%I Association for Computational Linguistics
%C Dominican Republic
%F malon-2021-team
%X We develop a system for the FEVEROUS fact extraction and verification task that ranks an initial set of potential evidence and then pursues missing evidence in subsequent hops by trying to generate it, with a “next hop prediction module” whose output is matched against page elements in a predicted article. Seeking evidence with the next hop prediction module continues to improve FEVEROUS score for up to seven hops. Label classification is trained on possibly incomplete extracted evidence chains, utilizing hints that facilitate numerical comparison. The system achieves .281 FEVEROUS score and .658 label accuracy on the development set, and finishes in second place with .259 FEVEROUS score and .576 label accuracy on the test set.
%R 10.18653/v1/2021.fever-1.5
%U https://aclanthology.org/2021.fever-1.5
%U https://doi.org/10.18653/v1/2021.fever-1.5
%P 40-49

Markdown (Informal)

[Team Papelo at FEVEROUS: Multi-hop Evidence Pursuit](https://aclanthology.org/2021.fever-1.5) (Malon, FEVER 2021)

• Team Papelo at FEVEROUS: Multi-hop Evidence Pursuit (Malon, FEVER 2021)

ACL

• Christopher Malon. 2021. Team Papelo at FEVEROUS: Multi-hop Evidence Pursuit. In Proceedings of the Fourth Workshop on Fact Extraction and VERification (FEVER), pages 40–49, Dominican Republic. Association for Computational Linguistics.