Extracting protein-protein interaction based on discriminative training of the hidden vector state model

Authors:
Deyu Zhou;Yulan He
Affiliations:
The University of Reading, Reading, UK;The University of Reading, Reading, UK
Venue:
BioNLP '08 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
Year:
2008

Citing 3
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Extracting Protein-Protein Interactions from MEDLINE using the Hidden Vector State model

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Abstract

The knowledge about gene clusters and protein interactions is important for biological researchers to unveil the mechanism of life. However, large quantity of the knowledge often hides in the literature, such as journal articles, reports, books and so on. Many approaches focusing on extracting information from unstructured text, such as pattern matching, shallow and deep parsing, have been proposed especially for extracting protein-protein interactions (Zhou and He, 2008).