3 papers
cs.CL2022
Evaluation of Transfer Learning for Polish with a Text-to-Text Model
Aleksandra Chrabrowa, Łukasz Dragan, Karol Grzegorczyk +4
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-t…
cs.CL2021
HerBERT: Efficiently Pretrained Transformer-based Language Model for Polish
Robert Mroczkowski, Piotr Rybak, Alina Wróblewska +1
BERT-based models are currently used for solving nearly all Natural Language Processing (NLP) tasks and most often achieve state-of-the-art results. Therefore, the NLP community co…
cs.CL2020
KLEJ: Comprehensive Benchmark for Polish Language Understanding
Piotr Rybak, Robert Mroczkowski, Janusz Tracz +1
In recent years, a series of Transformer-based models unlocked major improvements in general natural language understanding (NLU) tasks. Such a fast pace of research would not be p…