<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="pan-etal-2023-qacheck">
    <titleInfo>
        <title>QACheck: A Demonstration System for Question-Guided Multi-Hop Fact-Checking</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Liangming</namePart>
        <namePart type="family">Pan</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Xinyuan</namePart>
        <namePart type="family">Lu</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Min-Yen</namePart>
        <namePart type="family">Kan</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Preslav</namePart>
        <namePart type="family">Nakov</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2023-12</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Yansong</namePart>
            <namePart type="family">Feng</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Els</namePart>
            <namePart type="family">Lefever</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Singapore</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>Fact-checking real-world claims often requires intricate, multi-step reasoning due to the absence of direct evidence to support or refute them. However, existing fact-checking systems often lack transparency in their decision-making, making it challenging for users to comprehend their reasoning process. To address this, we propose the Question-guided Multi-hop Fact-Checking (QACheck) system, which guides the model’s reasoning process by asking a series of questions critical for verifying a claim. QACheck has five key modules: a claim verifier, a question generator, a question-answering module, a QA validator, and a reasoner. Users can input a claim into QACheck, which then predicts its veracity and provides a comprehensive report detailing its reasoning process, guided by a sequence of (question, answer) pairs. QACheck also provides the source of evidence supporting each question, fostering a transparent, explainable, and user-friendly fact-checking process.</abstract>
    <identifier type="citekey">pan-etal-2023-qacheck</identifier>
    <identifier type="doi">10.18653/v1/2023.emnlp-demo.23</identifier>
    <location>
        <url>https://aclanthology.org/2023.emnlp-demo.23</url>
    </location>
    <part>
        <date>2023-12</date>
        <extent unit="page">
            <start>264</start>
            <end>273</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T QACheck: A Demonstration System for Question-Guided Multi-Hop Fact-Checking
%A Pan, Liangming
%A Lu, Xinyuan
%A Kan, Min-Yen
%A Nakov, Preslav
%Y Feng, Yansong
%Y Lefever, Els
%S Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
%D 2023
%8 December
%I Association for Computational Linguistics
%C Singapore
%F pan-etal-2023-qacheck
%X Fact-checking real-world claims often requires intricate, multi-step reasoning due to the absence of direct evidence to support or refute them. However, existing fact-checking systems often lack transparency in their decision-making, making it challenging for users to comprehend their reasoning process. To address this, we propose the Question-guided Multi-hop Fact-Checking (QACheck) system, which guides the model’s reasoning process by asking a series of questions critical for verifying a claim. QACheck has five key modules: a claim verifier, a question generator, a question-answering module, a QA validator, and a reasoner. Users can input a claim into QACheck, which then predicts its veracity and provides a comprehensive report detailing its reasoning process, guided by a sequence of (question, answer) pairs. QACheck also provides the source of evidence supporting each question, fostering a transparent, explainable, and user-friendly fact-checking process.
%R 10.18653/v1/2023.emnlp-demo.23
%U https://aclanthology.org/2023.emnlp-demo.23
%U https://doi.org/10.18653/v1/2023.emnlp-demo.23
%P 264-273

Markdown (Informal)

[QACheck: A Demonstration System for Question-Guided Multi-Hop Fact-Checking](https://aclanthology.org/2023.emnlp-demo.23) (Pan et al., EMNLP 2023)

• QACheck: A Demonstration System for Question-Guided Multi-Hop Fact-Checking (Pan et al., EMNLP 2023)

ACL

• Liangming Pan, Xinyuan Lu, Min-Yen Kan, and Preslav Nakov. 2023. QACheck: A Demonstration System for Question-Guided Multi-Hop Fact-Checking. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 264–273, Singapore. Association for Computational Linguistics.