TOPIC ISLANDS—a wavelet-based text visualization system
Proceedings of the conference on Visualization '98
Statistical Models for Text Segmentation
Machine Learning - Special issue on natural language learning
TextTiling: segmenting text into multi-paragraph subtopic passages
Computational Linguistics
Advances in domain independent linear text segmentation
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
A prosodic analysis of discourse segments in direction-giving monologues
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Discourse segmentation of multi-party conversation
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Real versus Template-Based Natural Language Generation: A False Opposition?
Computational Linguistics
The NITE XML toolkit meets the ICSI meeting corpus: import, annotation, and browsing
MLMI'04 Proceedings of the First international conference on Machine Learning for Multimodal Interaction
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We present a system for analyzing conversational data. The system includes state-of-the-art natural language processing components that have been modified to accommodate the unique nature of conversational data. In addition, we leverage the added richness of conversational data by analyzing various aspects of the participants and their relationships to each other. Our tool provides users with the ability to easily identify topics or persons of interest, including who talked to whom, when, entities that were discussed, etc. Using this tool, one can also isolate more complex networks of information: individuals who may have discussed the same topics but never talked to each other. The tool includes a UI that plots information over time, and a semantic graph that highlights relationships of interest.