Zhou, Deyu, He, Yulan and Kwoh, Chee K. (2008). Extracting protein-protein interactions from MEDLINE using the hidden vector state model. International Journal of Bioinformatics Research and Applications, 4 (1), pp. 64-80.
Abstract
A major challenge in text mining for biomedicine is automatically extracting protein-protein interactions from the vast amount of biomedical literature. We have constructed an information extraction system based on the Hidden Vector State (HVS) model for protein-protein interactions. The HVS model can be trained using only lightly annotated data whilst simultaneously retaining sufficient ability to capture the hierarchical structure. When applied in extracting protein-protein interactions, we found that it performed better than other established statistical methods and achieved 61.5% in F-score with balanced recall and precision values. Moreover, the statistical nature of the pure data-driven HVS model makes it intrinsically robust and it can be easily adapted to other domains.
Divisions: | College of Engineering & Physical Sciences > Systems analytics research institute (SARI) ?? 50811700Jl ?? |
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Additional Information: | International journal of bioinformatics research and applications (4, 2008) http://www.inderscience.com/offer.php?id=17164 © Inderscience Enterprises Ltd. |
Publication ISSN: | 1744-5493 |
Last Modified: | 30 Nov 2023 08:05 |
Date Deposited: | 24 Jan 2013 13:45 |
Full Text Link: |
http://www.inde ... er.php?id=17164 10.1504/IJBRA.2008.017164 |
Related URLs: |
http://www.scop ... tnerID=8YFLogxK
(Scopus URL) |
PURE Output Type: | Article |
Published Date: | 2008-02 |
Authors: |
Zhou, Deyu
He, Yulan Kwoh, Chee K. |