Algorithms for clustering data
Algorithms for clustering data
A Validity Measure for Fuzzy Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic text decomposition using text segments and text themes
Proceedings of the the seventh ACM conference on Hypertext
Statistical Models for Text Segmentation
Machine Learning - Special issue on natural language learning
A critique and improvement of an evaluation metric for text segmentation
Computational Linguistics
A Min-max Cut Algorithm for Graph Partitioning and Data Clustering
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Thematic alignment of recorded speech with documents
Proceedings of the 2003 ACM symposium on Document engineering
Xed: A New Tool for eXtracting Hidden Structures from Electronic Documents
DIAL '04 Proceedings of the First International Workshop on Document Image Analysis for Libraries (DIAL'04)
Thematic segmentation of texts: two methods for two kinds of texts
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Multi-paragraph segmentation of expository text
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Algorithmic Graph Theory and Perfect Graphs (Annals of Discrete Mathematics, Vol 57)
Algorithmic Graph Theory and Perfect Graphs (Annals of Discrete Mathematics, Vol 57)
Linear text segmentation using a dynamic programming algorithm
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
Data mining on multimedia data
Data mining on multimedia data
Using static documents as structured and thematic interfaces to multimedia meeting archives
MLMI'04 Proceedings of the First international conference on Machine Learning for Multimodal Interaction
Using bi-modal alignment and clustering techniques for documents and speech thematic segmentations
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Extracting information from multimedia meeting collections
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Using static documents as structured and thematic interfaces to multimedia meeting archives
MLMI'04 Proceedings of the First international conference on Machine Learning for Multimodal Interaction
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This article proposes a multimodal approach for segmenting meeting recordings. This bi-modal method takes advantages of the alignment of speech transcript with documents, in the context of meetings or lectures, where documents are discussed. The method first displays the alignment results as a set of nodes in a 2D space, where the two axes represent respectively the documents content and the speech transcript. The most connected regions in this graph are detected using a clustering method. The final clusters are then projected on the speech axis. Finally, the obtained sequence of segments is considered as the thematic structure of the speech transcript. In this article, we present our bi-modal method and compare it with two other mono-modal thematic segmentation methods.