At-least-N voting over biomedical named entity recognition systems
نویسندگان
چکیده
Biomedical named entity recognition (BNER) has been actively studied over the years, and several BNER systems have become publicly available. In this study, we investigate the utility of a simple voting method called at-least-n voting to improve gene name recognition, which takes advantage of the availability of BNER systems in the domain. We found this voting scheme is effective in combining BNER systems, and furthermore a combined system derived with publicly available BNER resources can be competitive with that of state-of-the-art gene recognition systems. The study implies that system combination utilizing diverse techniques and resources is very promising for BNER.
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