Statistical Models for Text Segmentation
Machine Learning - Special issue on natural language learning
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Synchronization of lecture videos and electronic slides by video text analysis
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Minimizing word error rate in textual summaries of spoken language
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
The effect of speech recognition accuracy rates on the usefulness and usability of webcast archives
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Matching slides to presentation videos using SIFT and scene background matching
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
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
Style & topic language model adaptation using HMM-LDA
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
A generative model for parsing natural language to meaning representations
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
A statistical semantic parser that integrates syntax and semantics
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Using confusion networks for speech summarization
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Imposing hierarchical browsing structures onto spoken documents
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
A new approach to automatic speech summarization
IEEE Transactions on Multimedia
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We propose a normalized-cut model for the problem of aligning a known hierarchical browsing structure, e.g., electronic slides of lecture recordings, with the sequential transcripts of the corresponding spoken documents, with the aim to help index and access the latter. This model optimizes a normalized-cut graph-partitioning criterion and considers local tree constraints at the same time. The experimental results show the advantage of this model over Viterbi-like, sequential alignment, under typical speech recognition errors.