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hi my name is madeline hillsbos and i will talk about a project on table understanding systems in practice that i conducted during my internship at stigma computing together with senagatani james gill chartei demigod issue data from university of texas at austin and paul groth from the university of amsterdam over the past decade deep learning models have become experts in understanding images natural language and even codes but tables which are widely used to capture information in a semi-structured way are still a mystery for us humans it is easy to understand that this table at the bottom describes different business accounts with their location data across the tables columns yet in practice systems are hardly able to reflect this metadata accurately now if we obtain useful column representations and assign semantic types to them systems can infer what can and cannot be done with tables for example to search for tables with sales data or validate a price column to contain only negat
