21 citations · 21 across the 1 of their papers we have counts for
4 papers
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…
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…
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…
Semi-Supervised Neural System for Tagging, Parsing and Lematization
Piotr Rybak, Alina Wróblewska
This paper describes the ICS PAS system which took part in CoNLL 2018 shared task on Multilingual Parsing from Raw Text to Universal Dependencies. The system consists of jointly tr…