Publication: Detecting protein-protein interactions in biomedical texts using a parser and linguistic resources
Detecting protein-protein interactions in biomedical texts using a parser and linguistic resources
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Schneider, G., Kaljurand, K., & Rinaldi, F. (2009). Detecting protein-protein interactions in biomedical texts using a parser and linguistic resources. In A. Gelbukh (Ed.), Computational Linguistics and Intelligent Text Processing (No. 5449; Issue 5449, pp. 406–417). Springer. https://doi.org/10.1007/978-3-642-00382-0_33
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We describe the task of automatically detecting interactions between proteins in biomedical literature. We use a syntactic parser, a corpus annotated for proteins, and manual decisions as training material. After automatically parsing the GENIA corpus, which is manually annotated for proteins, all syntactic paths between proteins are extracted. These syntactic paths are manually disambiguated between meaningful paths and irrelevant paths. Meaningful paths are paths that express an interaction between the syntactically connected prote
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- Schneider, Gerold
- Kaljurand, Kaarel
- Rinaldi, Fabio
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Schneider, G., Kaljurand, K., & Rinaldi, F. (2009). Detecting protein-protein interactions in biomedical texts using a parser and linguistic resources. In A. Gelbukh (Ed.), Computational Linguistics and Intelligent Text Processing (No. 5449; Issue 5449, pp. 406–417). Springer. https://doi.org/10.1007/978-3-642-00382-0_33
