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Open Information Extraction to KBP Relations in 3 Hours

机译:在3小时内开放信息提取至KBP关系

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We participated in both the English Slot Filling and Entity Linking in the 2013 TAC-KBP evaluation. Our Slot Filling system provides an answer to the following conjectures: Can Open Information Extraction (Open IE) form the basis of a high precision extractor for a set of target relations in an ontology? And, just as importantly, can this be done with a minimum of human knowledge engineering? We built rules to map Open IE extractions to KBP Slot Filling relations and found that just three hours of rule creation gave extractor precision of 0.79. Spending a total of 12 hours refining the rules increased precision slightly to 0.80 with recall near the median of other KBP systems.
机译:我们参与了2013年TAC-KBP评估中的英语插槽填充和实体。我们的插槽填充系统提供了以下猜想的答案:可以打开信息提取(打开IE),以在本体中的一组目标关系中形成高精度提取器的基础?并同样重要的是,这可以通过最少的人类知识工程来完成吗?我们构建了将映射到kbp插槽填充关系的开放的规则,发现只需三个小时的规则创建就会产生0.79的提取器精度。总共12小时改善规则提高到0.80的精度与其他KBP系统中位数附近的召回。

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