BoDBES: a boosted dictionary-based biomedical entity spotter

Abstract

To measure the impact of the difference sources on the performance of entity extraction, we used three different data sources: 1) GENIA, 2) Mesh Tree, and 3) UMLS. The performance is also measured by F1. In the performance comparision among three approaches on the dictionary with GENIA+MeSH, BoDBES is slightly better than SPED in all three datasets whereas the context only option shows the worst performance.