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Evaluation of Transfer Learning for Polish with a Text-to-Text Model. (arXiv:2205.08808v1 [cs.CL])
May 19, 2022, 1:11 a.m. | Aleksandra Chrabrowa, Łukasz Dragan, Karol Grzegorczyk, Dariusz Kajtoch, Mikołaj Koszowski, Robert Mroczkowski, Piotr Rybak
cs.LG updates on arXiv.org arxiv.org
We introduce a new benchmark for assessing the quality of text-to-text models
for Polish. The benchmark consists of diverse tasks and datasets: KLEJ
benchmark adapted for text-to-text, en-pl translation, summarization, and
question answering. In particular, since summarization and question answering
lack benchmark datasets for the Polish language, we describe their construction
and make them publicly available. Additionally, we present plT5 - a
general-purpose text-to-text model for Polish that can be fine-tuned on various
Natural Language Processing (NLP) tasks with a …
More from arxiv.org / cs.LG updates on arXiv.org
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