Recognizing names in biomedical texts: a machine learning approach

Motivation: With an overwhelming amount of textual informa-tion in molecular biology and biomedicine, there is a need for effective and efficient literature mining and knowledge dis-covery that can help biologists to gather and make use of the knowledge encoded in text documents. In order to make organized and structured information available, automatically recognizing biomedical entity names becomes critical and is important for information retrieval, information extraction and automated knowledge acquisition. Results: In this paper, we present a named entity recognition system in the biomedical domain, called PowerBioNE. In order to deal with the special phenomena of naming conventions in the biomedical domain, we propose various evidential fea-tures: (1) word formation pattern; (2) morphological pattern