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中文摘要：
提出了一种将监督学习和半监督学习融合的方法,并用于从文献中自动抽取蛋白质关系.在AImed语料上的实验得到63.2%的F值,这表明该方法达到目前较好的性能.
英文摘要：
An approach based on supervised learning and semi-supervised learning to automatically extract proteinprotein interactions from biomedical literature has been presented.Experimental evaluations show that the method can achieve the state of art performance with 63.2% F-score on the AImed corpus.
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同项目期刊论文
Filtering Gene Ontology semantic similarity for identifying protein complexes in large protein inter
Extracting Drug-Drug Interaction from the Biomedical Literature Using a Stacked Generalization-Based
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