@inproceedings{dubuisson-duplessis-etal-2016-purely,
    title = "Purely Corpus-based Automatic Conversation Authoring",
    author = "Dubuisson Duplessis, Guillaume  and
      Letard, Vincent  and
      Ligozat, Anne-Laure  and
      Rosset, Sophie",
    editor = "Calzolari, Nicoletta  and
      Choukri, Khalid  and
      Declerck, Thierry  and
      Goggi, Sara  and
      Grobelnik, Marko  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Mazo, Helene  and
      Moreno, Asuncion  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
    month = may,
    year = "2016",
    address = "Portoro{\v{z}}, Slovenia",
    publisher = "European Language Resources Association (ELRA)",
    url = "https://aclanthology.org/L16-1433/",
    pages = "2728--2735",
    abstract = "This paper presents an automatic corpus-based process to author an open-domain conversational strategy usable both in chatterbot systems and as a fallback strategy for out-of-domain human utterances. Our approach is implemented on a corpus of television drama subtitles. This system is used as a chatterbot system to collect a corpus of 41 open-domain textual dialogues with 27 human participants. The general capabilities of the system are studied through objective measures and subjective self-reports in terms of understandability, repetition and coherence of the system responses selected in reaction to human utterances. Subjective evaluations of the collected dialogues are presented with respect to amusement, engagement and enjoyability. The main factors influencing those dimensions in our chatterbot experiment are discussed."
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%0 Conference Proceedings
%T Purely Corpus-based Automatic Conversation Authoring
%A Dubuisson Duplessis, Guillaume
%A Letard, Vincent
%A Ligozat, Anne-Laure
%A Rosset, Sophie
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Grobelnik, Marko
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Helene
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 May
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F dubuisson-duplessis-etal-2016-purely
%X This paper presents an automatic corpus-based process to author an open-domain conversational strategy usable both in chatterbot systems and as a fallback strategy for out-of-domain human utterances. Our approach is implemented on a corpus of television drama subtitles. This system is used as a chatterbot system to collect a corpus of 41 open-domain textual dialogues with 27 human participants. The general capabilities of the system are studied through objective measures and subjective self-reports in terms of understandability, repetition and coherence of the system responses selected in reaction to human utterances. Subjective evaluations of the collected dialogues are presented with respect to amusement, engagement and enjoyability. The main factors influencing those dimensions in our chatterbot experiment are discussed.
%U https://aclanthology.org/L16-1433/
%P 2728-2735
Markdown (Informal)
[Purely Corpus-based Automatic Conversation Authoring](https://aclanthology.org/L16-1433/) (Dubuisson Duplessis et al., LREC 2016)
ACL
- Guillaume Dubuisson Duplessis, Vincent Letard, Anne-Laure Ligozat, and Sophie Rosset. 2016. Purely Corpus-based Automatic Conversation Authoring. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 2728–2735, Portorož, Slovenia. European Language Resources Association (ELRA).