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cs.CL2022
Active Learning with Tabular Language Models
Martin Ringsquandl, Aneta Koleva
Despite recent advancements in tabular language model research, real-world applications are still challenging. In industry, there is an abundance of tables found in spreadsheets, b…
cs.AI2022
Named Entity Recognition in Industrial Tables using Tabular Language Models
Aneta Koleva, Martin Ringsquandl, Mark Buckley +2
Specialized transformer-based models for encoding tabular data have gained interest in academia. Although tabular data is omnipresent in industry, applications of table transformer…