• DocumentCode
    2052299
  • Title

    Demo of Antelogue: Pronoun Resolution for Dialogues

  • Author

    Miltsakaki, Eleni

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Univ. of Pennsylvania, Philadelphia, PA, USA
  • fYear
    2009
  • fDate
    14-16 Sept. 2009
  • Firstpage
    567
  • Lastpage
    568
  • Abstract
    We present Antelogue, a novel pronoun resolution architecture for dialogues based on efficient filtering of potential antecedents through a simple look-up of information using existing resources (gender, number, NER, etc). Our system does not require large labelled datasets for training or complex handcrafted rules. We will demo the system´s real time performance on dialogues extracted from the screenplays of the popular TV series Lost. Antelogue achieves accuracy (90.4%) for first, second and third person singular pronouns.
  • Keywords
    information filtering; interactive systems; natural language processing; text analysis; Antelogue; antecedent filtering; dialogue; information look-up; pronoun resolution architecture; Cognitive science; Data mining; Databases; Layout; Motion pictures; Pattern recognition; Speech recognition; TV; Tagging; Text recognition; Terms pronoun resolution; anaphora resolution; coreference;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantic Computing, 2009. ICSC '09. IEEE International Conference on
  • Conference_Location
    Berkeley, CA
  • Print_ISBN
    978-1-4244-4962-0
  • Electronic_ISBN
    978-0-7695-3800-6
  • Type

    conf

  • DOI
    10.1109/ICSC.2009.65
  • Filename
    5298559