Automatic Extraction of Protein Interaction in Literature
This work addresses a key precondition for constructing protein knowledge networks, important for biomedicine research, but it is incremental as it builds on existing methods.
The paper tackled the problem of extracting directional protein-protein interactions from biological text using an SVM-based method, achieving good results on the LLL05 corpus.
Protein-protein interaction extraction is the key precondition of the construction of protein knowledge network, and it is very important for the research in the biomedicine. This paper extracted directional protein-protein interaction from the biological text, using the SVM-based method. Experiments were evaluated on the LLL05 corpus with good results. The results show that dependency features are import for the protein-protein interaction extraction and features related to the interaction word are effective for the interaction direction judgment. At last, we analyzed the effects of different features and planed for the next step.