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Submission accepted for The 48th International Conference on Very Large Data Bases (VLDB)

Submission accepted for The 48th International Conference on Very Large Data Bases (VLDB)

The paper "MATE: Multi-Attribute Table Extraction" has been accepted for publication at the International Conference on Very Large Data Bases (VLDB) 2022.

The paper "MATE: Multi-Attribute Table Extraction" by has been accepted for the research track of the International Conference on Very Large Data Bases (VLDB) 2022.

 

This paper was a collaboration between Mahdi Esmailoghli (LUH), Jorge-Arnulfo Quiané-Ruiz (TU Berlin), and Ziawasch Abedjan (LUH and Amazon).