Role recognition for meeting participants: an approach based on lexical information and social network analysis

Garg, N.P., Favre, S., Salamin, H., Hakkani Tür, D. and Vinciarelli, A. (2008) Role recognition for meeting participants: an approach based on lexical information and social network analysis. In: MM '08 Proceedings of the 16th ACM International Conference on Multimedia, Vancouver, Canada, October 26 - 31, 2008, pp. 693-696. (doi:10.1145/1459359.1459462)

Full text not currently available from Enlighten.

Publisher's URL: http://dx.doi.org/10.1145/1459359.1459462

Abstract

This paper presents experiments on the automatic recognition of roles in meetings. The proposed approach combines two sources of information: the lexical choices made by people playing different roles on one hand, and the Social Networks describing the interactions between the meeting participants on the other hand. Both sources lead to role recognition results significantly higher than chance when used separately, but the best results are obtained with their combination. Preliminary experiments obtained over a corpus of 138 meeting recordings (over 45 hours of material) show that around 70% of the time is labeled correctly in terms of role.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Salamin, Mr Hugues and Vinciarelli, Professor Alessandro
Authors: Garg, N.P., Favre, S., Salamin, H., Hakkani Tür, D., and Vinciarelli, A.
College/School:College of Science and Engineering > School of Computing Science

University Staff: Request a correction | Enlighten Editors: Update this record