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cs.CL2023
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…
cs.CL2023★ 1 cited
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…