Abstract
This paper describes a way to influence the content identification process in automatically generating multi-document summarizations of a cluster of documents regarding the same topic. The proposed method uses the weighted harmonic mean between precision and recall and results in a multiset of concepts that we consider to be defining for a cluster. These concepts can be used for selecting the proper sentences from the original cluster of documents and thus generating the multi-document summarization.
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Van Britsom, D., Bronselaer, A., De Tré, G. (2012). Concept Identification in Constructing Multi-Document Summarizations. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds) Advances in Computational Intelligence. IPMU 2012. Communications in Computer and Information Science, vol 298. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31715-6_30
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DOI: https://doi.org/10.1007/978-3-642-31715-6_30
Publisher Name: Springer, Berlin, Heidelberg
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