Exploiting MeSH indexing in MEDLINE to generate a data set for word sense disambiguation

Author:

Jimeno-Yepes Antonio J,McInnes Bridget T,Aronson Alan R

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Reference35 articles.

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2. Pezik P, Jimeno-Yepes A, Lee V, Rebholz-Schuhmann D: Static dictionary features for term polysemy identification. Building and evaluating resources for biomedical text mining, LREC Workshop 2008.

3. Jimeno A, Jimenez-Ruiz E, Lee V, Gaudan S, Berlanga R, Rebholz-Schuhmann D: Assessment of disease named entity recognition on a corpus of annotated sentences. BMC bioinformatics 2008, 9(Suppl 3):S3. 10.1186/1471-2105-9-S3-S3

4. Leaman R, Miller C, Gonzalez G: Enabling Recognition of Diseases in Biomedical Text with Machine Learning: Corpus and Benchmark. Proceedings of the 2009 Symposium on Languages in Biology and Medicine 2009.

5. Gaudan S, Kirsch H, Rebholz-Schuhmann D: Resolving abbreviations to their senses in Medline. Bioinformatics 2005, 21(18):3658. 10.1093/bioinformatics/bti586

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