<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="li-etal-2023-incomplete">
    <titleInfo>
        <title>Incomplete Utterance Rewriting by A Two-Phase Locate-and-Fill Regime</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Zitong</namePart>
        <namePart type="family">Li</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Jiawei</namePart>
        <namePart type="family">Li</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Haifeng</namePart>
        <namePart type="family">Tang</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Kenny</namePart>
        <namePart type="family">Zhu</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Ruolan</namePart>
        <namePart type="family">Yang</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2023-07</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Findings of the Association for Computational Linguistics: ACL 2023</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Anna</namePart>
            <namePart type="family">Rogers</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Jordan</namePart>
            <namePart type="family">Boyd-Graber</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Naoaki</namePart>
            <namePart type="family">Okazaki</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Toronto, Canada</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>Rewriting incomplete and ambiguous utterances can improve dialogue models’ understanding of the context and help them generate better results. However, the existing end-to-end models will have the problem of too large search space, resulting in poor quality of rewriting results. We propose a 2-phase rewriting framework which first predicts the empty slots in the utterance that need to be completed, and then generate the part to be filled into each positions. Our framework is simple to implement, fast to run, and achieves the state-of-the-art results on several public rewriting datasets.</abstract>
    <identifier type="citekey">li-etal-2023-incomplete</identifier>
    <identifier type="doi">10.18653/v1/2023.findings-acl.171</identifier>
    <location>
        <url>https://aclanthology.org/2023.findings-acl.171</url>
    </location>
    <part>
        <date>2023-07</date>
        <extent unit="page">
            <start>2731</start>
            <end>2745</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Incomplete Utterance Rewriting by A Two-Phase Locate-and-Fill Regime
%A Li, Zitong
%A Li, Jiawei
%A Tang, Haifeng
%A Zhu, Kenny
%A Yang, Ruolan
%Y Rogers, Anna
%Y Boyd-Graber, Jordan
%Y Okazaki, Naoaki
%S Findings of the Association for Computational Linguistics: ACL 2023
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F li-etal-2023-incomplete
%X Rewriting incomplete and ambiguous utterances can improve dialogue models’ understanding of the context and help them generate better results. However, the existing end-to-end models will have the problem of too large search space, resulting in poor quality of rewriting results. We propose a 2-phase rewriting framework which first predicts the empty slots in the utterance that need to be completed, and then generate the part to be filled into each positions. Our framework is simple to implement, fast to run, and achieves the state-of-the-art results on several public rewriting datasets.
%R 10.18653/v1/2023.findings-acl.171
%U https://aclanthology.org/2023.findings-acl.171
%U https://doi.org/10.18653/v1/2023.findings-acl.171
%P 2731-2745

Markdown (Informal)

[Incomplete Utterance Rewriting by A Two-Phase Locate-and-Fill Regime](https://aclanthology.org/2023.findings-acl.171) (Li et al., Findings 2023)

• Incomplete Utterance Rewriting by A Two-Phase Locate-and-Fill Regime (Li et al., Findings 2023)

ACL

• Zitong Li, Jiawei Li, Haifeng Tang, Kenny Zhu, and Ruolan Yang. 2023. Incomplete Utterance Rewriting by A Two-Phase Locate-and-Fill Regime. In Findings of the Association for Computational Linguistics: ACL 2023, pages 2731–2745, Toronto, Canada. Association for Computational Linguistics.