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Linguistic feature analysis for protein interaction extraction
2009
BMC Bioinformatics
The rapid growth of the amount of publicly available reports on biomedical experimental results has recently caused a boost of text mining approaches for protein interaction extraction. Most approaches rely implicitly or explicitly on linguistic, i.e., lexical and syntactic, data extracted from text. However, only few attempts have been made to evaluate the contribution of the different feature types. In this work, we contribute to this evaluation by studying the relative importance of deep
doi:10.1186/1471-2105-10-374
pmid:19909518
pmcid:PMC2781821
fatcat:pw2ro6fkmrcmvls2rz6kixrtra