• DocumentCode
    3735553
  • Title

    Distance-based dialog acts labeling

  • Author

    Stanislav Ond??;Jozef Juh?r

  • Author_Institution
    Department of Electronics and Multimedia Communications, FEI, Technical University of Kosice Kosice, Slovakia
  • fYear
    2015
  • Firstpage
    99
  • Lastpage
    103
  • Abstract
    The capability to recognize a communication function (dialogue act) of the particular utterance spoken by the speaker in the dialogue interaction, is one of the important ability of human participants in dialogue interactions. Automatic dialog act recognition can make human-computer dialogue interaction more natural and effective. Dialogue act recognition is a language-dependent technology and resources in desired language are required in form of a corpus, where each utterance is labeled by one of the dialog acts. Approaches based on statistical modeling are usually applied to classify dialogue acts. In the paper, simple distance-based approach is introduced and results of evaluation experiments on newly-prepared corpus in Slovak language are presented.
  • Keywords
    "Labeling","Computational modeling","Training","Hidden Markov models","MATLAB","Euclidean distance","Pattern matching"
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Infocommunications (CogInfoCom), 2015 6th IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/CogInfoCom.2015.7390572
  • Filename
    7390572