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[HTML][HTML] ChatGPT: Jack of all trades, master of none
OpenAI has released the Chat Generative Pre-trained Transformer (ChatGPT) and
revolutionized the approach in artificial intelligence to human-model interaction. The first …
revolutionized the approach in artificial intelligence to human-model interaction. The first …
Rwkv: Reinventing rnns for the transformer era
Transformers have revolutionized almost all natural language processing (NLP) tasks but
suffer from memory and computational complexity that scales quadratically with sequence …
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
Abstract Analysis of subjective texts like offensive content or hate speech is a great
challenge, especially regarding annotation process. Most of current annotation procedures …
challenge, especially regarding annotation process. Most of current annotation procedures …
HerBERT: Efficiently pretrained transformer-based language model for Polish
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 …
(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
We study the selection of transfer languages for different Natural Language Processing
tasks, specifically sentiment analysis, named entity recognition and dependency parsing. In …
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 …
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
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 …
range of applications. Most existing sentiment analysis techniques are limited to the analysis …
Clarin-emo: Training emotion recognition models using human annotation and chatgpt
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 …
ChatGPT or generate both artificial texts and annotations for them. We prepared three …
Pre-training polish transformer-based language models at scale
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 …
(NLP). This statement is especially true for English language, in which many pre-trained …
Sustainability information in European small-and medium-sized enterprises
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 …
reporting. Europe has just published a new Directive on Corporate Sustainability Reporting …