Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10320644 | Artificial Intelligence in Medicine | 2005 | 17 Pages |
Abstract
Our results show that it is promising to use machine learning to automatically build systems for extracting information from biomedical text. The results also give a broad picture of the relative strengths of a wide variety of methods when tested on a reasonably large human-annotated corpus.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Razvan Bunescu, Ruifang Ge, Rohit J. Kate, Edward M. Marcotte, Raymond J. Mooney, Arun K. Ramani, Yuk Wah Wong,