Search Results for author: Piotr Wierzchon

Found 1 papers, 0 papers with code

Challenging America: Modeling language in longer time scales

no code implementations Findings (NAACL) 2022 Jakub Pokrywka, Filip Graliński, Krzysztof Jassem, Karol Kaczmarek, Krzysztof Jurkiewicz, Piotr Wierzchon

The aim of the paper is to apply, for historical texts, the methodology used commonly to solve various NLP tasks defined for contemporary data, i. e. pre-train and fine-tune large Transformer models.

Cloze Test Optical Character Recognition

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