Summarizing text documents: sentence selection and evaluation metrics
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generic text summarization using relevance measure and latent semantic analysis
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Text summarization via hidden Markov models
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Co-clustering documents and words using bipartite spectral graph partitioning
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Modern Information Retrieval
The use of unlabeled data to improve supervised learning for text summarization
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Summarization beyond sentence extraction: a probabilistic approach to sentence compression
Artificial Intelligence
Introduction to the special issue on summarization
Computational Linguistics - Summarization
Cut and paste based text summarization
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
K-means clustering via principal component analysis
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Centroid-based summarization of multiple documents
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From single to multi-document summarization: a prototype system and its evaluation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Automatic evaluation of summaries using N-gram co-occurrence statistics
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Topic themes for multi-document summarization
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
A general model for clustering binary data
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The Proposition Bank: An Annotated Corpus of Semantic Roles
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SOFSEM '07 Proceedings of the 33rd conference on Current Trends in Theory and Practice of Computer Science
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IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Document summarization using conditional random fields
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Manifold-ranking based topic-focused multi-document summarization
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
ESUM: An Efficient System for Query-Specific Multi-document Summarization
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
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SPIRE '09 Proceedings of the 16th International Symposium on String Processing and Information Retrieval
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Comparative document summarization via discriminative sentence selection
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Creating a gold standard for sentence clustering in multi-document summarization
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ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Focused multi-document summarization: human summarization activity vs. automated systems techniques
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Journal of the American Society for Information Science and Technology
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CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
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COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Multi-document summarization via the minimum dominating set
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
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MSSF: a multi-document summarization framework based on submodularity
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iDVS: an interactive multi-document visual summarization system
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
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Comparative document summarization via discriminative sentence selection
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Multi-document summarization via submodularity
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CDDS: Constraint-driven document summarization models
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Generating event storylines from microblogs
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Proceedings of the 21st ACM international conference on Information and knowledge management
Ontology-enriched multi-document summarization in disaster management using submodular function
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Multiple documents summarization based on evolutionary optimization algorithm
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Comparative Document Summarization via Discriminative Sentence Selection
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Information Processing and Management: an International Journal
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Multi-document summarization aims to create a compressed summary while retaining the main characteristics of the original set of documents. Many approaches use statistics and machine learning techniques to extract sentences from documents. In this paper, we propose a new multi-document summarization framework based on sentence-level semantic analysis and symmetric non-negative matrix factorization. We first calculate sentence-sentence similarities using semantic analysis and construct the similarity matrix. Then symmetric matrix factorization, which has been shown to be equivalent to normalized spectral clustering, is used to group sentences into clusters. Finally, the most informative sentences are selected from each group to form the summary. Experimental results on DUC2005 and DUC2006 data sets demonstrate the improvement of our proposed framework over the implemented existing summarization systems. A further study on the factors that benefit the high performance is also conducted.