• DocumentCode
    2659635
  • Title

    Quantitative evaluation of dialog corpora acquired through different techniques

  • Author

    Griol, David ; Hurtado, Lluís F. ; Segarra, Encarna ; Sanchis, Emilio

  • Author_Institution
    Dept. de Sistemes Inf. i Computacio, Univ. Politec. de Valencia, Valencia
  • fYear
    2008
  • fDate
    15-19 Dec. 2008
  • Firstpage
    105
  • Lastpage
    108
  • Abstract
    In this paper, we present the results of the comparison between three corpora acquired by means of different techniques. The first corpus was acquired using the Wizard of Oz technique. A statistical user simulation technique has been developed for the acquisition of the second corpus. In this technique, the next user answer is selected by means of a classification process that takes into account the previous user turns, the last system answer and the objective of the dialog. Finally, a dialog simulation technique has been developed for the acquisition of the third corpus. This technique uses a random selection of the user and system turns, defining stop conditions for automatically deciding if the simulated dialog is successful or not. We use several evaluation measures proposed in previous research to compare between our three acquired corpora, and then discuss the similarities and differences with regard to these measures.
  • Keywords
    interactive systems; statistical analysis; Wizard-of-Oz technique; classification process; dialog corpora; quantitative evaluation; statistical user simulation technique; Automatic speech recognition; Information systems; Labeling; Project management; Rail transportation; Robustness; Speech processing; Telephony; Vocabulary; Corpora Evaluation; Dialog Systems; User Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Spoken Language Technology Workshop, 2008. SLT 2008. IEEE
  • Conference_Location
    Goa
  • Print_ISBN
    978-1-4244-3471-8
  • Electronic_ISBN
    978-1-4244-3472-5
  • Type

    conf

  • DOI
    10.1109/SLT.2008.4777851
  • Filename
    4777851