Attention, intentions, and the structure of discourse
Computational Linguistics
Statistical Models for Text Segmentation
Machine Learning - Special issue on natural language learning
Topic segmentation with an aspect hidden Markov model
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
A critique and improvement of an evaluation metric for text segmentation
Computational Linguistics
Cranking: Combining Rankings Using Conditional Probability Models on Permutations
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
The Journal of Machine Learning Research
Multi-paragraph segmentation of expository text
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Information fusion in the context of multi-document summarization
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Statistical significance of MUC-6 results
MUC6 '95 Proceedings of the 6th conference on Message understanding
A statistical model for domain-independent text segmentation
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Probabilistic text structuring: experiments with sentence ordering
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Discourse segmentation of multi-party conversation
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Sentence alignment for monolingual comparable corpora
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Topic modeling: beyond bag-of-words
ICML '06 Proceedings of the 23rd international conference on Machine learning
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Computing locally coherent discourses
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Unsupervised topic modelling for multi-party spoken discourse
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
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
A bottom-up approach to sentence ordering for multi-document summarization
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Automatic Evaluation of Information Ordering: Kendall's Tau
Computational Linguistics
Modeling local coherence: An entity-based approach
Computational Linguistics
Modeling online reviews with multi-grain topic models
Proceedings of the 17th international conference on World Wide Web
Unsupervised rank aggregation with distance-based models
Proceedings of the 25th international conference on Machine learning
Fast collapsed gibbs sampling for latent dirichlet allocation
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Aggregating inconsistent information: Ranking and clustering
Journal of the ACM (JACM)
NAACL-ANLP-AutoSum '00 Proceedings of the 2000 NAACL-ANLP Workshop on Automatic Summarization
Sentence ordering with manifold-based classification in multi-document summarization
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Bayesian unsupervised topic segmentation
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
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
Inferring strategies for sentence ordering in multidocument news summarization
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
Incorporating content structure into text analysis applications
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Empirical methods in natural language generation
In-domain relation discovery with meta-constraints via posterior regularization
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Discovering K web user groups with specific aspect interests
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
Generating natural language descriptions from OWL ontologies: the natural OWL system
Journal of Artificial Intelligence Research
| Hi-index | 0.00 |
We present a novel Bayesian topic model for learning discourse-level document structure. Our model leverages insights from discourse theory to constrain latent topic assignments in a way that reflects the underlying organization of document topics. We propose a global model in which both topic selection and ordering are biased to be similar across a collection of related documents. We show that this space of orderings can be effectively represented using a distribution over permutations called the Generalized Mallows Model. We apply our method to three complementary discourse-level tasks: cross-document alignment, document segmentation, and information ordering. Our experiments show that incorporating our permutation-based model in these applications yields substantial improvements in performance over previously proposed methods.