Generic text summarization using relevance measure and latent semantic analysis
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CAST: a computer-aided summarisation tool
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ADVIS'04 Proceedings of the Third international conference on Advances in Information Systems
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COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
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TSD '09 Proceedings of the 12th International Conference on Text, Speech and Dialogue
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DEW '09 Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions
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DAARC '09 Proceedings of the 7th Discourse Anaphora and Anaphor Resolution Colloquium on Anaphora Processing and Applications
The GREC main subject reference generation challenge 2009: overview and evaluation results
UCNLG+Sum '09 Proceedings of the 2009 Workshop on Language Generation and Summarisation
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INLG '08 Proceedings of the Fifth International Natural Language Generation Conference
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ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
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ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
SemEval-2010 task 1: Coreference resolution in multiple languages
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Data Mining and Knowledge Discovery
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AusDM '09 Proceedings of the Eighth Australasian Data Mining Conference - Volume 101
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Language Resources and Evaluation
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We propose a new method for using anaphoric information in Latent Semantic Analysis (LSA), and discuss its application to develop an LSA-based summarizer which achieves a significantly better performance than a system not using anaphoric information, and a better performance by the rouge measure than all but one of the single-document summarizers participating in DUC-2002. Anaphoric information is automatically extracted using a new release of our own anaphora resolution system, GUITAR, which incorporates proper noun resolution. Our summarizer also includes a new approach for automatically identifying the dimensionality reduction of a document on the basis of the desired summarization percentage. Anaphoric information is also used to check the coherence of the summary produced by our summarizer, by a reference checker module which identifies anaphoric resolution errors caused by sentence extraction.