RankPref: Ranking Sentences Describing Relations between Biomedical Entities with an Application
作者： Catalina Oana Tudor , K Vijay-Shanker
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摘要: This paper presents a machine learning approach that selects and, more generally, ranks sentences containing clear relations between genes and terms are related to them. is treated as binary classification task, where preference judgments used learn how choose sentence from pair of sentences. Features capture the relationship described textually, well central in sentence, process. Simplification complex into simple structures also applied for extraction features. We show such simplification improves results by up 13%. conducted three different evaluations we found system significantly outperforms baselines.
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