<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="rojas-barahona-etal-2012-building">
    <titleInfo>
        <title>Building and Exploiting a Corpus of Dialog Interactions between French Speaking Virtual and Human Agents</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Lina</namePart>
        <namePart type="given">M</namePart>
        <namePart type="family">Rojas-Barahona</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Alejandra</namePart>
        <namePart type="family">Lorenzo</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Claire</namePart>
        <namePart type="family">Gardent</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2012-05</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12)</title>
        </titleInfo>
        <originInfo>
            <publisher>European Language Resources Association (ELRA)</publisher>
            <place>
                <placeTerm type="text">Istanbul, Turkey</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>We describe the acquisition of a dialog corpus for French based on multi-task human-machine interactions in a serious game setting. We present a tool for data collection that is configurable for multiple games; describe the data collected using this tool and the annotation schema used to annotate it; and report on the results obtained when training a classifier on the annotated data to associate each player turn with a dialog move usable by a rule based dialog manager. The collected data consists of approximately 1250 dialogs, 10454 utterances and 168509 words and will be made freely available to academic and nonprofit research.</abstract>
    <identifier type="citekey">rojas-barahona-etal-2012-building</identifier>
    <location>
        <url>http://www.lrec-conf.org/proceedings/lrec2012/pdf/505_Paper.pdf</url>
    </location>
    <part>
        <date>2012-05</date>
        <extent unit="page">
            <start>1428</start>
            <end>1435</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Building and Exploiting a Corpus of Dialog Interactions between French Speaking Virtual and Human Agents
%A Rojas-Barahona, Lina M.
%A Lorenzo, Alejandra
%A Gardent, Claire
%S Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12)
%D 2012
%8 May
%I European Language Resources Association (ELRA)
%C Istanbul, Turkey
%F rojas-barahona-etal-2012-building
%X We describe the acquisition of a dialog corpus for French based on multi-task human-machine interactions in a serious game setting. We present a tool for data collection that is configurable for multiple games; describe the data collected using this tool and the annotation schema used to annotate it; and report on the results obtained when training a classifier on the annotated data to associate each player turn with a dialog move usable by a rule based dialog manager. The collected data consists of approximately 1250 dialogs, 10454 utterances and 168509 words and will be made freely available to academic and nonprofit research.
%U http://www.lrec-conf.org/proceedings/lrec2012/pdf/505_Paper.pdf
%P 1428-1435

Markdown (Informal)

[Building and Exploiting a Corpus of Dialog Interactions between French Speaking Virtual and Human Agents](http://www.lrec-conf.org/proceedings/lrec2012/pdf/505_Paper.pdf) (Rojas-Barahona et al., LREC 2012)

• Building and Exploiting a Corpus of Dialog Interactions between French Speaking Virtual and Human Agents (Rojas-Barahona et al., LREC 2012)

ACL

• Lina M. Rojas-Barahona, Alejandra Lorenzo, and Claire Gardent. 2012. Building and Exploiting a Corpus of Dialog Interactions between French Speaking Virtual and Human Agents. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 1428–1435, Istanbul, Turkey. European Language Resources Association (ELRA).