Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10355620 | Journal of Biomedical Informatics | 2012 | 12 Pages |
Abstract
⺠Explored the use of distributional semantics for a sequence classification task such as concept extraction. ⺠Evaluated different distributional semantic models based on their ability to predict the semantic types of terms. ⺠Proposed semi supervised learning in a framework that is agnostic to the underlying supervised learning algorithm. ⺠Improved the F-score of a state of the art clinical concept extraction by 2%.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Siddhartha Jonnalagadda, Trevor Cohen, Stephen Wu, Graciela Gonzalez,