The Frame-Based Module of the SUISEKI Information Extraction System
IEEE Intelligent Systems
Optimizing syntax patterns for discovering protein-protein interactions
Proceedings of the 2005 ACM symposium on Applied computing
Using automated feature optimisation to create an adaptable relation extraction system
BioNLP '08 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
The extraction of enriched protein-protein interactions from biomedical text
BioNLP '07 Proceedings of the Workshop on BioNLP 2007: Biological, Translational, and Clinical Language Processing
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There has been much interest in recent years on the topic of extracting Protein-Protein Interaction (PPI) information automatically from scientific publications. This is due to the need that has emerged to organise the large body of literature that is generated through research, and collected at sites such as PubMed. Easy access to the information contained in published work is vital for facilitating new research, but the rate of publication makes manual collection of all such data unfeasible. Information Extraction approaches based on Natural Language Processing can be, and are already being used, to facilitate this process.