11 citations · 11 across the 1 of their papers we have counts for
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.CL2019★ 11 cited
Vector representations of text data in deep learning
Karol Grzegorczyk
In this dissertation we report results of our research on dense distributed representations of text data. We propose two novel neural models for learning such representations. The…
cs.CL2016
Binary Paragraph Vectors
Karol Grzegorczyk, Marcin Kurdziel
Recently Le & Mikolov described two log-linear models, called Paragraph Vector, that can be used to learn state-of-the-art distributed representations of documents. Inspired by thi…