One of the most critical tasks for improving data quality and increasing the reliability of data
analytics is Entity Resolution (ER), which aims to identify different descriptions that refer to …

Entity Resolution (ER), a core task of Data Integration, detects different entity profiles that
correspond to the same real-world object. Due to its inherently quadratic complexity, a series …

Many recent works on Entity Resolution (ER) leverage Deep Learning techniques involving
language models to improve effectiveness. This is applied to both main steps of ER, ie …

Sensitive personal data are created in many application domains, and there is now an
increasing demand to share, integrate, and link such data within and across organisations in …

Entity resolution (ER) is a significant task in data integration, which aims to detect all entity
profiles that correspond to the same real-world entity. Due to its inherently quadratic …

Entity Resolution is a core task for merging data collections. Due to its quadratic complexity,
it typically scales to large volumes of data through blocking: similar entities are clustered into …

Entity Resolution (ER) is the task of detecting different entity profiles that describe the same
real-world objects. To facilitate its execution, we have developed JedAI, an open-source …

Identifying records that refer to the same entity is a fundamental step for data integration.
Since it is prohibitively expensive to compare every pair of records, blocking techniques are …

Nowadays information is crucial in many fields such as medicine, science and business,
where databases are used effectively for information sharing. However, the databases face …

One of the most important tasks for improving data quality and the reliability of data analytics
results is Entity Resolution (ER). ER aims to identify different descriptions that refer to the …