The use of MMR, diversity-based reranking for reordering documents and producing summaries
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Summarizing text documents: sentence selection and evaluation metrics
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
The Journal of Machine Learning Research
Centroid-based summarization of multiple documents
Information Processing and Management: an International Journal
Bayesian query-focused summarization
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Novelty detection: the TREC experience
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Fast collapsed gibbs sampling for latent dirichlet allocation
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Exploring content models for multi-document summarization
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Contrastive summarization: an experiment with consumer reviews
NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
LexRank: graph-based lexical centrality as salience in text summarization
Journal of Artificial Intelligence Research
Multi-document summarization using sentence-based topic models
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
Multi-document summarization via the minimum dominating set
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Discovery of topically coherent sentences for extractive summarization
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Extractive multi-document summaries should explicitly not contain document-specific content
WASDGML '11 Proceedings of the Workshop on Automatic Summarization for Different Genres, Media, and Languages
The effectiveness of automatic text summarization in mobile learning contexts
Computers & Education
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Update summarization is a new challenge in multi-document summarization focusing on summarizing a set of recent documents relatively to another set of earlier documents. We present an unsupervised probabilistic approach to model novelty in a document collection and apply it to the generation of update summaries. The new model, called Dualsum, results in the second or third position in terms of the ROUGE metrics when tuned for previous TAC competitions and tested on TAC-2011, being statistically indistinguishable from the winning system. A manual evaluation of the generated summaries shows state-of-the art results for Dualsum with respect to focus, coherence and overall responsiveness.