Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
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
A critique and improvement of an evaluation metric for text segmentation
Computational Linguistics
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
Topic segmentation: algorithms and applications
Topic segmentation: algorithms and applications
Advances in domain independent linear text segmentation
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Char_align: a program for aligning parallel texts at the character level
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
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
A statistical model for domain-independent text segmentation
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Discourse segmentation of multi-party conversation
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
TOWARD A MORE GLOBAL AND COHERENT SEGMENTATION OF TEXTS
Applied Artificial Intelligence
Topic identification for fine-grained opinion analysis
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Bounding and comparing methods for correlation clustering beyond ILP
ILP '09 Proceedings of the Workshop on Integer Linear Programming for Natural Langauge Processing
Bayesian unsupervised topic segmentation
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
N-gram weighting: reducing training data mismatch in cross-domain language model estimation
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Context-based message expansion for disentanglement of interleaved text conversations
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
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
Global models of document structure using latent permutations
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Gesture salience as a hidden variable for coreference resolution and keyframe extraction
Journal of Artificial Intelligence Research
A Subword Normalized Cut Approach to Automatic Story Segmentation of Chinese Broadcast News
AIRS '09 Proceedings of the 5th Asia Information Retrieval Symposium on Information Retrieval Technology
Participant subjectivity and involvement as a basis for discourse segmentation
SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Content modeling using latent permutations
Journal of Artificial Intelligence Research
A dynamic programming model for text segmentation based on min-max similarity
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
A statistical model for topic segmentation and clustering
Canadian AI'08 Proceedings of the Canadian Society for computational studies of intelligence, 21st conference on Advances in artificial intelligence
Evaluating hierarchical discourse segmentation
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Unsupervised discourse segmentation of documents with inherently parallel structure
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
Divide and translate: improving long distance reordering in statistical machine translation
WMT '10 Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR
Contextually-mediated semantic similarity graphs for topic segmentation
TextGraphs-5 Proceedings of the 2010 Workshop on Graph-based Methods for Natural Language Processing
Exploiting conversation structure in unsupervised topic segmentation for emails
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Coverage-based methods for distributional stopword selection in text segmentation
TSD'10 Proceedings of the 13th international conference on Text, speech and dialogue
Computational Linguistics
Improving text segmentation with non-systematic semantic relation
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
Text segmentation: A topic modeling perspective
Information Processing and Management: an International Journal
A normalized-cut alignment model for mapping hierarchical semantic structures onto spoken documents
CoNLL '11 Proceedings of the Fifteenth Conference on Computational Natural Language Learning
Utilizing sub-topical structure of documents for information retrieval
Proceedings of the 4th workshop on Workshop for Ph.D. students in information & knowledge management
Automatic text segmentation for movie subtitles
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
Linear text segmentation using affinity propagation
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Unsupervised modeling of dialog acts in asynchronous conversations
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Spoken Content Retrieval: A Survey of Techniques and Technologies
Foundations and Trends in Information Retrieval
Topical segmentation: a study of human performance and a new measure of quality
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Getting more from segmentation evaluation
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Discourse structure and computation: past, present and future
ACL '12 Proceedings of the ACL-2012 Special Workshop on Rediscovering 50 Years of Discoveries
Using the omega index for evaluating abstractive community detection
Proceedings of Workshop on Evaluation Metrics and System Comparison for Automatic Summarization
Hierarchical conversation structure prediction in multi-party chat
SIGDIAL '12 Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Discourse structure and language technology
Natural Language Engineering
International Journal of Mobile Human Computer Interaction
Unsupervised text segmentation using LDA and MCMC
AusDM '12 Proceedings of the Tenth Australasian Data Mining Conference - Volume 134
SLSP'13 Proceedings of the First international conference on Statistical Language and Speech Processing
Topic segmentation and labeling in asynchronous conversations
Journal of Artificial Intelligence Research
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We consider the task of unsupervised lecture segmentation. We formalize segmentation as a graph-partitioning task that optimizes the normalized cut criterion. Our approach moves beyond localized comparisons and takes into account long-range cohesion dependencies. Our results demonstrate that global analysis improves the segmentation accuracy and is robust in the presence of speech recognition errors.