Attention, intentions, and the structure of discourse
Computational Linguistics
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Statistical Models for Text Segmentation
Machine Learning - Special issue on natural language learning
The Theory and Practice of Discourse Parsing and Summarization
The Theory and Practice of Discourse Parsing and Summarization
A critique and improvement of an evaluation metric for text segmentation
Computational Linguistics
D-LTAG System: Discourse Parsing with a Lexicalized Tree-Adjoining Grammar
Journal of Logic, Language and Information
Discourse Segmentation in Aid of Document Summarization
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 3 - Volume 3
Domain-independent text segmentation using anisotropic diffusion and dynamic programming
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Discourse segmentation by human and automated means
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
Multi-paragraph segmentation of expository text
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
A Dynamic Programming Algorithm for Linear Text Segmentation
Journal of Intelligent Information Systems
Discourse segmentation of multi-party conversation
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Minimum cut model for spoken lecture segmentation
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Representing discourse coherence: a corpus-based analysis
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Feature-based segmentation of narrative documents
FeatureEng '05 Proceedings of the ACL Workshop on Feature Engineering for Machine Learning in Natural Language Processing
Bayesian unsupervised topic segmentation
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Hierarchical text segmentation from multi-scale lexical cohesion
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
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Hierarchical discourse segmentation is a useful technology, but it is difficult to evaluate. I propose an error measure based on the word error rate of Beeferman et al. (1999). I then show that this new measure not only reliably distinguishes baseline segmentations from lexically-informed hierarchical segmentations and more informed segmentations from less informed segmentations, but it also offers an improvement over previous linear error measures.