Proceedings chapter
OA Policy
English

Contrasting the Automatic Identification of Two Discourse Markers in Multiparty Dialogues

Presented atAntwerp (Belgium), September
Published inACL - Association for Computational Linguistics (Ed.), Proceedings of SIGDIAL 2007 (8th SIGdial Workshop on Discourse and Dialogue), p. 10-17
Publication date2007
Abstract

The identification of occurrences of like and well that serve as discourse markers (DMs) is a classification problem which is studied here on a corpus of dialogue transcripts with more than 4,000 occurrences of each item. Decision trees using item-specific lexical, prosodic, positional and sociolinguistic features are trained using the C4.5 method. The results demonstrate improvement over past experiments, reaching the same range as inter-annotator agreement scores. DM identification appears to benefit from itemspecific classifiers, which perform better than general purpose ones, thanks to the differentiated use of lexical features.

Citation (ISO format)
POPESCU-BELIS, Andréi, ZUFFEREY, Sandrine. Contrasting the Automatic Identification of Two Discourse Markers in Multiparty Dialogues. In: Proceedings of SIGDIAL 2007 (8th SIGdial Workshop on Discourse and Dialogue). ACL - Association for Computational Linguistics (Ed.). Antwerp (Belgium). [s.l.] : [s.n.], 2007. p. 10–17.
Main files (1)
Proceedings chapter
accessLevelPublic
Identifiers
  • PID : unige:3487
538views
252downloads

Technical informations

Creation02/10/2009 09:31:19
First validation02/10/2009 09:31:19
Update time14/03/2023 15:14:59
Status update14/03/2023 15:14:59
Last indexation29/10/2024 12:19:13
All rights reserved by Archive ouverte UNIGE and the University of GenevaunigeBlack