Paper: Disease Mention Recognition with Specific Features

ACL ID W10-1911
Title Disease Mention Recognition with Specific Features
Venue Workshop on Biomedical Natural Language Processing
Session
Year 2010
Authors

Despite an increasing amount of research on biomedical named entity recognition, there has been not enough work done on disease mention recognition. Difficulty of obtaining adequate corpora is one of the key reasons which hindered this particu- lar research. Previous studies argue that correct identification of disease mentions is the key issue for further improvement of the disease-centric knowledge extrac- tion tasks. In this paper, we present a ma- chine learning based approach that uses a feature set tailored for disease mention recognition and outperforms the state-of- the-art results. The paper also discusses why a feature set for the well studied gene/protein mention recognition task is not necessarily equally effective for other biomedical semantic types such as dis- eases.