Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10351940 | Computers in Biology and Medicine | 2005 | 10 Pages |
Abstract
We propose a graphic tool for curating molecular interaction networks constructed from the literature by information extraction (IE). In order to turn preliminary results from IE into useful biomedical resources, we propose to use a controlled environment in which visualization and IE work synergistically. The usability of the proposed graphic tool is shown with respect to the identification of incorrectly extracted results that are due to the much troubling coordination phenomena in natural language texts. Through the experiment on molecular interactions in Saccaharomyces cerevisiae, we have seen a meaningful increase (from 91.5% to 97.5%) in the number of correctly extracted interaction information.
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Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Changsu Lee, Jinah Park, Jong C. Park,