2003 DiscourseSegmentationofMultiPar

• (Galley et al., 2003) ⇒ Michel Galley, Kathleen McKeown, Eric Fosler-Lussier, and Hongyan Jing. (2003). “Discourse Segmentation of Multi-party Conversation.” In: Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1. doi:10.3115/1075096.1075167

Subject Headings: Topic Segmentation Algorithm, Multi-Party Speech.

Cited By

• http://scholar.google.com/scholar?q=%222003%22+Discourse+Segmentation+of+Multi-party+Conversation
• http://dl.acm.org/citation.cfm?id=1075096.1075167&preflayout=flat#citedby

Quotes

Abstract

We present a domain-independent topic segmentation algorithm for multi-party speech. Our feature-based algorithm combines knowledge about content using a text-based algorithm as a feature and about form using linguistic and acoustic cues about topic shifts extracted from speech. This segmentation algorithm uses automatically induced decision rules to combine the different features. The embedded text-based algorithm builds on lexical cohesion and has performance comparable to state-of-the-art algorithms based on lexical information. A significant error reduction is obtained by combining the two knowledge sources.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2003 DiscourseSegmentationofMultiPar	Hongyan Jing Kathleen R. McKeown Michel Galley Eric Fosler-Lussier			Discourse Segmentation of Multi-party Conversation				10.3115/1075096.1075167		2003