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Relation extraction using co-training with distant supervision

机译:与远程监督联合训练的关系提取

摘要

Generating, updating, and using a knowledge graph. Concepts in a knowledge graph can have relations to one another. These relations may be expressed as confidence values. A training data set may be split into two portions, with the first portion used to update confidence values for existing relations between concept pairs, using the knowledge graph. These confidence values can be used, together with the second portion used to update confidence values for known phrases that express known relations. These confidence values, in turn, can be used, together with the first portion, to increase the accuracy of the original confidence scores with respect to existing relations. The process may be iteratively employed, with each iteration increasing the accuracy of confidence scores.
机译:生成,更新和使用知识图。知识图中的概念可以彼此关系。这些关系可能被表示为置信度值。训练数据集可以分为两个部分,其中第一部分用于更新概念对之间存在关系的置信度值,使用知识图。可以使用这些置信度值与用于更新表达已知关系的已知短语的置信度值的第二部分。又可以与第一部分一起使用这些置信度值,以提高与现有关系的原始置信区的准确性。可以迭代地使用该过程,每次迭代增加了置信分数的准确性。

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