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Using a Hybrid Approach for Entity Recognition in the Biomedical Domain

Type of publication Peer-reviewed
Publikationsform Proceedings (peer-reviewed)
Author Basaldella Marco, Furrer Lenz, Colic Nicola, Ellendorff Tilia Renate, Tasso Carlo, Rinaldi Fabio,
Project MelanoBase
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Proceedings (peer-reviewed)

Editor , Neves Mariana; , Nenadic Goran; , Rebholz-Schuhmann Dietrich; , Rinaldi Fabio
Page(s) 11 - 19
Title of proceedings 7th International Symposium on Semantic Mining in Biomedicine

Open Access

Type of Open Access Repository (Green Open Access)


This paper presents an approach towards high performance extraction of biomedical entities from the literature, which is built by combining a high recall dictionary-based technique with a high-precision machine learning filtering step. The technique is then evaluated on the CRAFT corpus. We present the performance we obtained, analyze the errors and propose a possible follow-up of this work.