Zobrazeno 1 - 10
of 2 028
pro vyhledávání: '"Gelbukh, A."'
Autor:
Yigezu, Mesay Gemeda, Mersha, Melkamu Abay, Bade, Girma Yohannis, Kalita, Jugal, Kolesnikova, Olga, Gelbukh, Alexander
Publikováno v:
ACLing 2024: 6th International Conference on AI in Computational Linguistics
The proliferation of fake news has emerged as a significant threat to the integrity of information dissemination, particularly on social media platforms. Misinformation can spread quickly due to the ease of creating and disseminating content, affecti
Externí odkaz:
http://arxiv.org/abs/2410.02609
Autor:
Ta, Hoang-Thang, Thai, Duy-Quy, Rahman, Abu Bakar Siddiqur, Sidorov, Grigori, Gelbukh, Alexander
In this paper, we introduce FC-KAN, a Kolmogorov-Arnold Network (KAN) that leverages combinations of popular mathematical functions such as B-splines, wavelets, and radial basis functions on low-dimensional data through element-wise operations. We ex
Externí odkaz:
http://arxiv.org/abs/2409.01763
Identifying misogyny using artificial intelligence is a form of combating online toxicity against women. However, the subjective nature of interpreting misogyny poses a significant challenge to model the phenomenon. In this paper, we propose a multit
Externí odkaz:
http://arxiv.org/abs/2406.15869
This paper describes our participation in Task 3 and Task 5 of the #SMM4H (Social Media Mining for Health) 2024 Workshop, explicitly targeting the classification challenges within tweet data. Task 3 is a multi-class classification task centered on tw
Externí odkaz:
http://arxiv.org/abs/2404.19714
Autor:
Tonja, Atnafu Lambebo, Balouchzahi, Fazlourrahman, Butt, Sabur, Kolesnikova, Olga, Ceballos, Hector, Gelbukh, Alexander, Solorio, Thamar
The paper focuses on the marginalization of indigenous language communities in the face of rapid technological advancements. We highlight the cultural richness of these languages and the risk they face of being overlooked in the realm of Natural Lang
Externí odkaz:
http://arxiv.org/abs/2404.05365
Recent research in natural language processing (NLP) has achieved impressive performance in tasks such as machine translation (MT), news classification, and question-answering in high-resource languages. However, the performance of MT leaves much to
Externí odkaz:
http://arxiv.org/abs/2403.19365
Autor:
Ojo, Olumide Ebenezer, Adebanji, Olaronke Oluwayemisi, Gelbukh, Alexander, Calvo, Hiram, Feldman, Anna
Effective communication between healthcare providers and patients is crucial to providing high-quality patient care. In this work, we investigate how Doctor-written and AI-generated texts in healthcare consultations can be classified using state-of-t
Externí odkaz:
http://arxiv.org/abs/2402.04442
Autor:
Butt, Sabur, Balouchzahi, Fazlourrahman, Meque, Abdul Gafar Manuel, Amjad, Maaz, Cancino, Hector G. Ceballos, Sidorov, Grigori, Gelbukh, Alexander
The intricate relationship between human decision-making and emotions, particularly guilt and regret, has significant implications on behavior and well-being. Yet, these emotions subtle distinctions and interplay are often overlooked in computational
Externí odkaz:
http://arxiv.org/abs/2401.16541
Zero-shot classification enables text to be classified into classes not seen during training. In this study, we examine the efficacy of zero-shot learning models in classifying healthcare consultation responses from Doctors and AI systems. The models
Externí odkaz:
http://arxiv.org/abs/2310.12489
Autor:
Muhammad Arif, Moein Shahiki Tash, Ainaz Jamshidi, Fida Ullah, Iqra Ameer, Jugal Kalita, Alexander Gelbukh, Fazlourrahman Balouchzahi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Hope is a vital coping mechanism, enabling individuals to effectively confront life’s challenges. This study proposes a technique employing Natural Language Processing (NLP) tools like Linguistic Inquiry and Word Count (LIWC), NRC-emotion-
Externí odkaz:
https://doaj.org/article/70df732c4fa648498a7f47c2100e1320
