UNIGE document Chapitre d'actes
previous document  unige:3463  next document
add to browser collection
Title

Exploiting Structural Meeting-Specific Features for Topic Segmentation

Authors
Published in Actes de TALN/RECITAL. Toulouse (France). 2007, p. 15-24
Abstract In this article we address the task of automatic text structuring into linear and non-overlapping thematic episodes. Our investigation reports on the use of various lexical, acoustic and syntactic features, and makes a comparison of how these features influence performance of automatic topic segmentation. Using datasets containing multi-party meeting transcriptions, we base our experiments on a proven state-of-the-art approach using support vector classification.
Full text
Proceedings chapter - public document Free access
Structures
Citation
(ISO format)
GEORGESCUL, Maria, CLARK, Alexander, ARMSTRONG, Susan. Exploiting Structural Meeting-Specific Features for Topic Segmentation. In: Actes de TALN/RECITAL. Toulouse (France). [s.l.] : [s.n.], 2007. p. 15-24. https://archive-ouverte.unige.ch/unige:3463

289 hits

328 downloads

Update

Deposited on : 2009-10-02

Export document
Format :
Citation style :