A combined approach for the extraction of the multi-word and nested biomedical entity

Name entity recognition is the fundamental task in text mining area. This work focuses on the problems of multi-word and nested entity names. A combined approach is proposed for identifying multi-word and nested bio-entity names, which achieve an F-measure of 80.8% in extracting the total of bio-entity names and an F-measure of 82.2% aiming at nested entities. Experimental results show the combined approach is promising for developing text mining technology.