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Discovering Informative Syntactic Relationships between Named Entities in Biomedical Literature
2010
2010 Second International Conference on Advances in Databases, Knowledge, and Data Applications
The discovery of new and potentially meaningful relationships between named entities in biomedical literature can take great advantage from the application of multirelational data mining approaches in text mining. This is motivated by the peculiarity of multi-relational data mining to be able to express and manipulate relationships between entities. We investigate the application of such an approach to address the task of identifying informative syntactic structures, which are frequent in
doi:10.1109/dbkda.2010.14
dblp:conf/dbkda/AppiceCL10
fatcat:kyowhpzeynelfcym76klqp3r2a