Statistical Models for Text Segmentation
Machine Learning - Special issue on natural language learning
ThemeRiver: Visualizing Thematic Changes in Large Document Collections
IEEE Transactions on Visualization and Computer Graphics
Maximum Entropy Markov Models for Information Extraction and Segmentation
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
The Journal of Machine Learning Research
Infocrystal: a visual tool for information retrieval
VIS '93 Proceedings of the 4th conference on Visualization '93
TextTiling: segmenting text into multi-paragraph subtopic passages
Computational Linguistics
ICML '06 Proceedings of the 23rd international conference on Machine learning
The Locally Weighted Bag of Words Framework for Document Representation
The Journal of Machine Learning Research
Analysis of collaborative writing processes using revision maps and probabilistic topic models
Proceedings of the Third International Conference on Learning Analytics and Knowledge
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Unlike static documents, version controlled documents are continuously edited by one or more authors. Such collaborative revision process makes traditional modeling and visualization techniques inappropriate. In this paper we propose a new representation based on local space-time smoothing that captures important revision patterns. We demonstrate the applicability of our framework using experiments on synthetic and real-world data.