Recognizing Biomedical Named Entities in the Absence of Human Annotated Corpora

摘要

Biomedical named entity recognition is an important task in biomedical text mining. Currently the dominant approach is supervised learning, which requires a sufficiently large human annotated corpus for training. In this paper, we propose a novel approach