Making large-scale support vector machine learning practical
Advances in kernel methods
Statistical Models for Text Segmentation
Machine Learning - Special issue on natural language learning
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Topic-based document segmentation with probabilistic latent semantic analysis
Proceedings of the eleventh international conference on Information and knowledge management
A critique and improvement of an evaluation metric for text segmentation
Computational Linguistics
TnT: a statistical part-of-speech tagger
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Text segmentation with multiple surface linguistic cues
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Text segmentation based on similarity between words
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Multi-paragraph segmentation of expository text
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Statistical models for topic segmentation
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Topic analysis using a finite mixture model
EMNLP '00 Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 13
Word distributions for thematic segmentation in a support vector machine approach
CoNLL-X '06 Proceedings of the Tenth Conference on Computational Natural Language Learning
An analysis of quantitative aspects in the evaluation of thematic segmentation algorithms
SigDIAL '06 Proceedings of the 7th SIGdial Workshop on Discourse and Dialogue
Evaluating hierarchical discourse segmentation
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Linear text segmentation using classification techniques
Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India
Segmentation strategies for passage retrieval in audio-visual documents
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
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In this paper we examine topic segmentation of narrative documents, which are characterized by long passages of text with few headings. We first present results suggesting that previous topic segmentation approaches are not appropriate for narrative text. We then present a feature-based method that combines features from diverse sources as well as learned features. Applied to narrative books and encyclopedia articles, our method shows results that are significantly better than previous segmentation approaches. An analysis of individual features is also provided and the benefit of generalization using outside resources is shown.