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AUTOMATED ENTITY CORRELATION AND CLASSIFICATION ACROSS HETEROGENEOUS DATASETS
AUTOMATED ENTITY CORRELATION AND CLASSIFICATION ACROSS HETEROGENEOUS DATASETS
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机译:跨异构数据集的自动实体关联和分类
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摘要
The present disclosure describes techniques for entity classification and data enrichment of data sets. A data enrichment system is disclosed that can extract, repair, and enrich datasets, resulting in more precise entity resolution and classification for purposes of subsequent indexing and clustering. Disclosed techniques may include performing entity recognition to identify segments of interest that relate to an entity. Related data may be analyzed for classification, which can be used to transform the data for enrichment to its users.
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