A modular framework for biomedical concept recognition.

ABSTRACT:

Background

Concept recognition is an essential task in biomedical information extraction, presenting several complex and unsolved challenges. The development of such solutions is typically performed in an ad-hoc manner or using general information extraction frameworks, which are not optimized for the biomedical domain and normally require the integration of complex external libraries and/or the development of custom tools.

Results

This article presents Neji, an open source framework optimized for biomedical concept recognition built around four key characteristics: modularity, scalability, speed, and usability. It integrates modules for biomedical natural language processing, such as sentence splitting, tokenization, lemmatization, part-of-speech tagging, chunking and depen

SUBMITTER: Campos D 

PROVIDER: S-EPMC3849280 | biostudies-literature | 2013 Sep

REPOSITORIES: biostudies-literature