Statistical Models for Text Segmentation
Machine Learning - Special issue on natural language learning
Automatic generation of concise summaries of spoken dialogues in unrestricted domains
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
TextTiling: segmenting text into multi-paragraph subtopic passages
Computational Linguistics
Intention-based segmentation: human reliability and correlation with linguistic cues
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Building an information retrieval test collection for spontaneous conversational speech
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
An orthonormal basis for topic segmentation in tutorial dialogue
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Estimating continuous distributions in Bayesian classifiers
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
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We introduce a novel topic segmentation approach that combines evidence of topic shifts from lexical cohesion with linguistic evidence such as syntactically distinct features of segment initial contributions. Our evaluation demonstrates that this hybrid approach outperforms state-of-the-art algorithms even when applied to loosely structured, spontaneous dialogue.