Combining linguistic and structural descriptors for mining biomedical literature

Authors:
Nadia Zerida;Nadine Lucas;Bruno Crémilleux
Affiliations:
University of Caen;University of Caen;University of Caen
Venue:
Proceedings of the 2006 ACM symposium on Document engineering
Year:
2006

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Abstract

This work proposes an original combination of linguistic and structural descriptors to represent the content of biomedical papers. The objective is to show the effectiveness of descriptors taking into account the structure of documents to characterise three kinds of biomedical texts (reviews, research and clinical papers). The description of text is made at various levels, from the global level to the local one. The contexts makes it possible to characterise the three classes. The characterisation of the textual resources is carried out quantitatively by using the discriminating capacity of techniques of data mining based on emerging patterns.