NLM Medical Text Indexer Plays Role in International Challenge
The Medical Text Indexer (MTI) combines the expertise of indexers working at NLM with natural language processing technology to curate the biomedical literature with Medical Subject Headings (MeSH®) more efficiently and consistently. BioASQ is a series of challenges on biomedical semantic indexing and question answering with the aim of advancing the state of the art accessibility for researchers and clinicians to biomedical text. The MTI indexing results are providing one of the baselines used in the "large-scale online biomedical semantic indexing" part of the challenge, which is designed to parallel the human indexing currently being done at NLM.
The BioASQ Challenge evaluation of approaches to biomedical semantic indexing provided a continuous assessment of the indexing suggestions that are automatically generated by the MTI system used in support of the MEDLINE® indexing process at the NLM. The benefits of participating in this community-wide evaluation for MTI were two-fold: firstly, MTI was rigorously compared to systems developed by a world-wide community of researchers and industrial teams all performing the same task; and secondly, the free exchange of the methods and ideas allowed the MTI team to incorporate the best practices explored by the participating teams. Incorporating some of these approaches into the MTI workflow in 2013-2014 improved the accuracy of MTI indexing suggestions by 4.5%.
The NLM Medical Text Indexer is a product of the close collaboration between the NLM Index Section and the Lister Hill National Center for Biomedical Communications, an Intramural Research Division of the National Library of Medicine.
The world's largest biomedical library, the National Library of Medicine maintains and makes available a vast print collection and produces electronic information resources on a wide range of topics that are searched billions of times each year by millions of people around the globe. It also supports and conducts research, development and training in biomedical informatics and health information technology.