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• W86561409 abstract "Protein-protein interaction extraction is a challenging information extraction task in the BioNLP field. Several kernels focusing on a part of syntactic information have been proposed for the task. In this paper, we propose a method to combine multiple layers of syntactic information by using a combination of multiple kernels based on several different parsers. We evaluated the method using support vector machine and achieved an F-score of 62.0% on the AIMed corpus. Further, we analyzed the performance with or without including self-interaction pairs, and found that there is a danger of confusing classifiers and decreasing the performance when treating self-interaction pairs together with real pairs." @default.
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• W86561409 date "2008-01-01" @default.
• W86561409 modified "2023-10-07" @default.
• W86561409 title "Combining Multiple Layers of Syntactic Information for Protein-Protein Interaction Extraction" @default.
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