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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

URL http://ceur-ws.org/Vol-1650/smbm16Basaldella.pdf
Type of Open Access Repository (Green Open Access)

Abstract

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.
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