[HTML][HTML] ChatGPT: Jack of all trades, master of none

J Kocoń, I Cichecki, O Kaszyca, M Kochanek, D Szydło… - Information …, 2023 - Elsevier
OpenAI has released the Chat Generative Pre-trained Transformer (ChatGPT) and
revolutionized the approach in artificial intelligence to human-model interaction. The first …

Rwkv: Reinventing rnns for the transformer era

B Peng, E Alcaide, Q Anthony, A Albalak… - arxiv preprint arxiv …, 2023 - arxiv.org
Transformers have revolutionized almost all natural language processing (NLP) tasks but
suffer from memory and computational complexity that scales quadratically with sequence …

[HTML][HTML] Offensive, aggressive, and hate speech analysis: From data-centric to human-centered approach

J Kocoń, A Figas, M Gruza, D Puchalska… - Information Processing …, 2021 - Elsevier
Abstract Analysis of subjective texts like offensive content or hate speech is a great
challenge, especially regarding annotation process. Most of current annotation procedures …

HerBERT: Efficiently pretrained transformer-based language model for Polish

R Mroczkowski, P Rybak, A Wróblewska… - arxiv preprint arxiv …, 2021 - arxiv.org
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 …

Zero-shot cross-lingual transfer language selection using linguistic similarity

J Eronen, M Ptaszynski, F Masui - Information Processing & Management, 2023 - Elsevier
We study the selection of transfer languages for different Natural Language Processing
tasks, specifically sentiment analysis, named entity recognition and dependency parsing. In …

KLEJ: Comprehensive benchmark for Polish language understanding

P Rybak, R Mroczkowski, J Tracz, I Gawlik - arxiv preprint arxiv …, 2020 - arxiv.org
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 …

MiMuSA—mimicking human language understanding for fine-grained multi-class sentiment analysis

Z Wang, Z Hu, SB Ho, E Cambria, AH Tan - Neural Computing and …, 2023 - Springer
Sentiment analysis is an important natural language processing (NLP) task due to a wide
range of applications. Most existing sentiment analysis techniques are limited to the analysis …

Clarin-emo: Training emotion recognition models using human annotation and chatgpt

B Koptyra, A Ngo, Ł Radliński, J Kocoń - International conference on …, 2023 - Springer
In this paper, we investigate whether it is possible to automatically annotate texts with
ChatGPT or generate both artificial texts and annotations for them. We prepared three …

Pre-training polish transformer-based language models at scale

S Dadas, M Perełkiewicz, R Poświata - … 12-14, 2020, Proceedings, Part II …, 2020 - Springer
Transformer-based language models are now widely used in Natural Language Processing
(NLP). This statement is especially true for English language, in which many pre-trained …

Sustainability information in European small-and medium-sized enterprises

E Ortiz-Martínez, S Marín-Hernández - Journal of the Knowledge Economy, 2024 - Springer
Currently, there is an emphasis on the role of knowledge in corporate sustainability
reporting. Europe has just published a new Directive on Corporate Sustainability Reporting …