Towards automatic thematic sheets based on discursive categories in biomedical literature

Authors:
Julien Desclés;Olfa Makkaoui;Jean-Pierre Desclés
Affiliations:
LaLIC Université Paris-Sorbonne, Maison de la Recherche, rue Serpente, Paris;LaLIC Université Paris-Sorbonne, Maison de la Recherche, rue Serpente, Paris;LaLIC Université Paris-Sorbonne, Maison de la Recherche, rue Serpente, Paris
Venue:
Proceedings of the International Conference on Web Intelligence, Mining and Semantics
Year:
2011

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Abstract

Biological papers contain a huge amount of results and ideas that are difficult to manage. Researchers are not only interested in finding relevant information but they also need to know how the authors of papers get the results. Thus, it is interesting to identify the methods used and to distinguish for example between speculations, observations and deductions. Biologists need also to distinguish between new and prior information, especially to identify the real new output of a study. In order to respond to these needs, we propose a linguistic model based on the discursive categories. This model aims to develop the BioExcom tool for the automatic production of thematic sheets using the Contextual Exploration processing. BioExcom is already able to detect speculative sentences and to categorize them into new and prior speculation. The other categories of the model will be developed using the proposed linguistic markers.