Article ID Journal Published Year Pages File Type
6928450 Journal of Biomedical Informatics 2014 8 Pages PDF
Abstract

- We explore estimating WSD performance on a range of ambiguous biomedical terms.
- We evaluate the difficulty predictions against the output of two WSD systems.
- Supervised methods are the best predictors but limited by labeled training data.
- Unsupervised methods all perform well and can be applied more widely.
- Best performance was obtained using the relatedness measure proposed by Lesk.
Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
Authors
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