@inproceedings{77aa564d9f6e4fd8b177aa23c584fe58,
title = "Role recognition for meeting participants: An approach based on lexical information and social network analysis",
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.",
keywords = "Lexical analysis, Meeting recordings, Role recognition, Social network analysis",
author = "Garg, \{Neha P.\} and Sarah Favre and Hugues Salamin and T{\"u}r, \{Dilek Hakkani\} and Alessandro Vinciarelli",
year = "2008",
doi = "10.1145/1459359.1459462",
language = "English (US)",
isbn = "9781605583037",
series = "MM'08 - Proceedings of the 2008 ACM International Conference on Multimedia, with co-located Symposium and Workshops",
pages = "693--696",
booktitle = "MM'08 - Proceedings of the 2008 ACM International Conference on Multimedia, with co-located Symposium and Workshops",
note = "16th ACM International Conference on Multimedia, MM '08 ; Conference date: 26-10-2008 Through 31-10-2008",
}