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Inter-Sentence Relation Extraction for Associating Biological Context with Events in Biomedical Texts

机译:句间关系提取,用于将生物上下文与生物医学文本中的事件相关联

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We present an analysis of the problem of identifying biological context and associating it with biochemical events in biomedical texts. This constitutes a non-trivial, inter-sentential relation extraction task. We focus on biological context as descriptions of the species, tissue type and cell type that are associated with biochemical events. We describe the properties of an annotated corpus of context-event relations and present and evaluate several classifiers for context-event association trained on syntactic, distance and frequency features.
机译:我们提出了一个在生物医学文本中识别生物学背景并将其与生化事件相关联的问题的分析。这构成了一个非平凡的,句间关系提取任务。我们专注于生物学背景,作为与生化事件相关的物种,组织类型和细胞类型的描述。我们描述了上下文事件关系的带注释的语料库的属性,并提出并评估了在语法,距离和频率特征上训练的上下文事件关联的多个分类器。

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