Using a Hybrid Approach for Entity Recognition in the Biomedical Domain

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