@inproceedings{rojas-barahona-etal-2012-building,
    title = "Building and Exploiting a Corpus of Dialog Interactions between {F}rench Speaking Virtual and Human Agents",
    author = "Rojas-Barahona, Lina M.  and
      Lorenzo, Alejandra  and
      Gardent, Claire",
    editor = "Calzolari, Nicoletta  and
      Choukri, Khalid  and
      Declerck, Thierry  and
      Do{\u{g}}an, Mehmet U{\u{g}}ur  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Moreno, Asuncion  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
    month = may,
    year = "2012",
    address = "Istanbul, Turkey",
    publisher = "European Language Resources Association (ELRA)",
    url = "https://aclanthology.org/L12-1275/",
    pages = "1428--1435",
    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."
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        <namePart type="given">Lina</namePart>
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            <title>Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12)</title>
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            <namePart type="given">Nicoletta</namePart>
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            <namePart type="given">Mehmet</namePart>
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    <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>
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        <url>https://aclanthology.org/L12-1275/</url>
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    <part>
        <date>2012-05</date>
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            <start>1428</start>
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%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
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Doğan, Mehmet Uğur
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%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 https://aclanthology.org/L12-1275/
%P 1428-1435
Markdown (Informal)
[Building and Exploiting a Corpus of Dialog Interactions between French Speaking Virtual and Human Agents](https://aclanthology.org/L12-1275/) (Rojas-Barahona et al., LREC 2012)
ACL