Abstract
This paper discusses an approach to topic-oriented multi-document summarization. It investigates the effectiveness of using additional information about the document set as a whole, as well as individual documents. We present NEO-CORTEX, a multi-document summarization system based on the existing CORTEX system. Results are reported for experiments with a document base formed by the NIST DUC-2005 and DUC-2006 data. Our experiments have shown that NEO-CORTEX is an effective system and achieves good performance on topic-oriented multi-document summarization task.
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Boudin, F., Torres Moreno, J.M. (2007). NEO-CORTEX: A Performant User-Oriented Multi-Document Summarization System. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2007. Lecture Notes in Computer Science, vol 4394. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70939-8_49
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DOI: https://doi.org/10.1007/978-3-540-70939-8_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-70938-1
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