<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="dubuisson-duplessis-etal-2017-automatic">
    <titleInfo>
        <title>Automatic Measures to Characterise Verbal Alignment in Human-Agent Interaction</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Guillaume</namePart>
        <namePart type="family">Dubuisson Duplessis</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Chloé</namePart>
        <namePart type="family">Clavel</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Frédéric</namePart>
        <namePart type="family">Landragin</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2017-08</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Kristiina</namePart>
            <namePart type="family">Jokinen</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Manfred</namePart>
            <namePart type="family">Stede</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">David</namePart>
            <namePart type="family">DeVault</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Annie</namePart>
            <namePart type="family">Louis</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Saarbrücken, Germany</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>This work aims at characterising verbal alignment processes for improving virtual agent communicative capabilities. We propose computationally inexpensive measures of verbal alignment based on expression repetition in dyadic textual dialogues. Using these measures, we present a contrastive study between Human-Human and Human-Agent dialogues on a negotiation task. We exhibit quantitative differences in the strength and orientation of verbal alignment showing the ability of our approach to characterise important aspects of verbal alignment.</abstract>
    <identifier type="citekey">dubuisson-duplessis-etal-2017-automatic</identifier>
    <identifier type="doi">10.18653/v1/W17-5510</identifier>
    <location>
        <url>https://aclanthology.org/W17-5510</url>
    </location>
    <part>
        <date>2017-08</date>
        <extent unit="page">
            <start>71</start>
            <end>81</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Automatic Measures to Characterise Verbal Alignment in Human-Agent Interaction
%A Dubuisson Duplessis, Guillaume
%A Clavel, Chloé
%A Landragin, Frédéric
%Y Jokinen, Kristiina
%Y Stede, Manfred
%Y DeVault, David
%Y Louis, Annie
%S Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue
%D 2017
%8 August
%I Association for Computational Linguistics
%C Saarbrücken, Germany
%F dubuisson-duplessis-etal-2017-automatic
%X This work aims at characterising verbal alignment processes for improving virtual agent communicative capabilities. We propose computationally inexpensive measures of verbal alignment based on expression repetition in dyadic textual dialogues. Using these measures, we present a contrastive study between Human-Human and Human-Agent dialogues on a negotiation task. We exhibit quantitative differences in the strength and orientation of verbal alignment showing the ability of our approach to characterise important aspects of verbal alignment.
%R 10.18653/v1/W17-5510
%U https://aclanthology.org/W17-5510
%U https://doi.org/10.18653/v1/W17-5510
%P 71-81

Markdown (Informal)

[Automatic Measures to Characterise Verbal Alignment in Human-Agent Interaction](https://aclanthology.org/W17-5510) (Dubuisson Duplessis et al., SIGDIAL 2017)

• Automatic Measures to Characterise Verbal Alignment in Human-Agent Interaction (Dubuisson Duplessis et al., SIGDIAL 2017)

ACL

• Guillaume Dubuisson Duplessis, Chloé Clavel, and Frédéric Landragin. 2017. Automatic Measures to Characterise Verbal Alignment in Human-Agent Interaction. In Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue, pages 71–81, Saarbrücken, Germany. Association for Computational Linguistics.