Paper: Discourse Segmentation Of Multi-Party Conversation

ACL ID P03-1071
Title Discourse Segmentation Of Multi-Party Conversation
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2003
Authors

We present a domain-independent topic segmentation algorithm for multi-party speech. Our feature-based algorithm com- bines knowledge about content using a text-based algorithm as a feature and about form using linguistic and acous- tic cues about topic shifts extracted from speech. This segmentation algorithm uses automatically induced decision rules to combine the different features. The em- bedded text-based algorithm builds on lex- ical cohesion and has performance compa- rable to state-of-the-art algorithms based on lexical information. A significant er- ror reduction is obtained by combining the two knowledge sources.