707 citations · 708 across the 3 of their papers we have counts for
3 papers
From Generalized Laughter to Personalized Chuckles: Unleashing the Power of Data Fusion in Subjective Humor Detection
Julita Bielaniewicz, Przemysław Kazienko
The vast area of subjectivity in Natural Language Processing (NLP) poses a challenge to the solutions typically used in generalized tasks. As exploration in the scope of generalize…
Towards Model-Based Data Acquisition for Subjective Multi-Task NLP Problems
Kamil Kanclerz, Julita Bielaniewicz, Marcin Gruza +3
Data annotated by humans is a source of knowledge by describing the peculiarities of the problem and therefore fueling the decision process of the trained model. Unfortunately, the…
ChatGPT: Jack of all trades, master of none
Jan Kocoń, Igor Cichecki, Oliwier Kaszyca +17
OpenAI has released the Chat Generative Pre-trained Transformer (ChatGPT) and revolutionized the approach in artificial intelligence to human-model interaction. Several publication…