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2022fa-showcase's Introduction

Knowledge-augmentation based data preparator for Entity Matching problem

We use one specific data quality issue, mixture of information, as a use case to study how knowledge-augmentation preparator can be introduced on entity matching problem. We assume that

1). This preparator can be reused as a module for other similar datasets that have the mixture of information data quality issues.

2). By extracting information from the mixed information, we could improve the data quality as well as improve the entity matching performance.

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