There has been much recent interest in the extraction of PPIs (protein-protein interactions) from biomedical texts, but in order to assist with curation efforts, the PPIs must be enriched with further information of biological interest. This paper describes the implementation of a system to extract and enrich PPIs, developed and tested using an annotated corpus of biomedical texts, and employing both machine-learning and rule-based techniques.
|Title of host publication||BioNLP '07 Proceedings of the Workshop on BioNLP 2007: Biological, Translational, and Clinical Language Processing|
|Place of Publication||Stroudsburg, PA, USA|
|Publisher||Association for Computational Linguistics|
|Number of pages||8|
|Publication status||Published - 2007|