Papers by Piotr Wierzchon
Challenging America: Modeling language in longer time scales (2022.findings-naacl)
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Jakub Pokrywka, Filip Graliński, Krzysztof Jassem, Karol Kaczmarek, Krzysztof Jurkiewicz, Piotr Wierzchon
| Challenge: | a dominant approach to solving NLP tasks is pre-training a large neural language model and fine-tuning the model for specific tasks. |
| Approach: | They propose a challenge to train and fine-tune large Transformer models for historical texts . they pre-trained a RoBERTa model from scratch from the historical texts and evaluate them on benchmarks . |
| Outcome: | The proposed ML task is based on OCR-ed clippings from the Chronicling America portal. |