Title :
Demo of Antelogue: Pronoun Resolution for Dialogues
Author :
Miltsakaki, Eleni
Author_Institution :
Dept. of Comput. & Inf. Sci., Univ. of Pennsylvania, Philadelphia, PA, USA
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;
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
DOI :
10.1109/ICSC.2009.65