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
Automatic generation of overview timelines
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Generic text summarization using relevance measure and latent semantic analysis
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Accurate methods for the statistics of surprise and coincidence
Computational Linguistics - Special issue on using large corpora: I
Text summarization using a trainable summarizer and latent semantic analysis
Information Processing and Management: an International Journal - Special issue: An Asian digital libraries perspective
A probabilistic model for Latent Semantic Indexing: Research Articles
Journal of the American Society for Information Science and Technology
Robust temporal processing of news
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Automated text summarization and the SUMMARIST system
TIPSTER '98 Proceedings of a workshop on held at Baltimore, Maryland: October 13-15, 1998
A Novel Multilingual Text Categorization System using Latent Semantic Indexing
ICICIC '06 Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 2
Information Processing and Management: an International Journal
Two uses of anaphora resolution in summarization
Information Processing and Management: an International Journal
LexRank: graph-based lexical centrality as salience in text summarization
Journal of Artificial Intelligence Research
Wrapping up a summary: from representation to generation
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
Manifold ranking with sink points for update summarization
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Enriching the contents of enterprises' wiki systems with web information
WAIM'10 Proceedings of the 2010 international conference on Web-age information management
Challenges and solutions in the opinion summarization of user-generated content
Journal of Intelligent Information Systems
Representations for multi-document event clustering
Data Mining and Knowledge Discovery
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This paper deals with our recent research in text summarization. The field has moved from multi-document summarization to update summarization. When producing an update summary of a set of topic-related documents the summarizer assumes prior knowledge of the reader determined by a set of older documents of the same topic. The update summarizer thus must solve a novelty vs. redundancy problem. We describe the development of our summarizer which is based on Iterative Residual Rescaling (IRR) that creates the latent semantic space of a set of documents under consideration. IRR generalizes Singular Value Decomposition (SVD) and enables to control the influence of major and minor topics in the latent space. Our sentence-extractive summarization method computes the redundancy, novelty and significance of each topic. These values are finally used in the sentence selection process. The sentence selection component prevents inner summary redundancy. The results of our participation in TAC evaluation seem to be promising.