3 papers
cs.CL2024
A multitask learning framework for leveraging subjectivity of annotators to identify misogyny
Jason Angel, Segun Taofeek Aroyehun, Grigori Sidorov +1
Identifying misogyny using artificial intelligence is a form of combating online toxicity against women. However, the subjective nature of interpreting misogyny poses a significant…
cs.CL2024
Utilizing deep learning models for the identification of enhancers and super-enhancers based on genomic and epigenomic features
Zahra Ahani, Moein Shahiki Tash, Yoel Ledo Mezquita +1
This paper provides an extensive examination of a sizable dataset of English tweets focusing on nine widely recognized cryptocurrencies, specifically Cardano, Binance, Bitcoin, Dog…
cs.CL2024
Leveraging the power of transformers for guilt detection in text
Abdul Gafar Manuel Meque, Jason Angel, Grigori Sidorov +1
In recent years, language models and deep learning techniques have revolutionized natural language processing tasks, including emotion detection. However, the specific emotion of g…