Zobrazeno 1 - 10
of 291
pro vyhledávání: '"GPT-2"'
Autor:
Muhammad Rehan Ashraf, Muzammal Hussain, M. Arfan Jaffar, Waheed Yousuf Ramay, Muhammad Faheem
Publikováno v:
IEEE Access, Vol 12, Pp 99779-99793 (2024)
Sentiment analysis extracts valuable insights from textual sources using computation, textual or systematic analysis, and natural language processing. It identifies and measures the attitudes, beliefs, and emotional states individuals express through
Externí odkaz:
https://doaj.org/article/4c814316b2f24fe0b4f7573b8b3d41a5
Publikováno v:
IEEE Access, Vol 12, Pp 52414-52427 (2024)
Cognitive Behavioral Therapy (CBT) for tinnitus alleviates psychological discomfort caused by severe tinnitus symptoms. During CBT, the patients will have various homework assignments, including writing daily diaries and self-monitoring. Most of thes
Externí odkaz:
https://doaj.org/article/92ac0dfb08c6406ea8cdbba42d1ad85d
Autor:
Adam Hajek, Ales Horak
Publikováno v:
IEEE Access, Vol 12, Pp 34570-34581 (2024)
Automatic text summarization (ATS), alongside neural machine translation or question answering, is one of the leading tasks in Natural Language Processing (NLP). In recent years, ATS has experienced significant development, especially in the English
Externí odkaz:
https://doaj.org/article/1c01369a83204741a81cf2797c408fef
Autor:
Lu Shuting
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In this paper, we design an English multi-round dialogue model based on the pre-trained model GPT-2 and use Top-p and Top-k sampling instead of greedy search and cluster search sampling to optimize the decoding strategy. After that, a dialog history
Externí odkaz:
https://doaj.org/article/37744962005d45ec8512fa5cefba5fe5
Autor:
He Xiaoting, Shi Liangliang
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Traditional Japanese translation methods have certain disadvantages, and the introduction of artificial intelligence technology into them can enhance the effect of Japanese interpretation and translation. In this paper, the Japanese language data of
Externí odkaz:
https://doaj.org/article/96d1e7756097411aaab8f24d624a8e5a
Publikováno v:
HighTech and Innovation Journal, Vol 4, Iss 2, Pp 349-363 (2023)
The popularity of the e-commerce system has increased, especially under the COVID scenario. Consumer product reviews from the past have had a significant impact on influencing consumers' purchasing decisions. Fake reviews—those written by humans an
Externí odkaz:
https://doaj.org/article/19d0cddc8d5840f4a78db0e58c81bcd4
Publikováno v:
Jordanian Journal of Computers and Information Technology, Vol 9, Iss 1, Pp 21-35 (2023)
Text generation is one of the most challenging applications in artificial intelligence and natural language processing. In recent years, text generation has gotten much attention thanks to the advances in deep learning and language modeling approache
Externí odkaz:
https://doaj.org/article/35272d40aeb0458d9dbbc2899e6a5285
Publikováno v:
Frontiers in Physics, Vol 11 (2023)
Externí odkaz:
https://doaj.org/article/aff2db8671b14e549fe69938dd8c6a3e
Publikováno v:
Diagnostics, Vol 14, Iss 3, p 329 (2024)
This study aims explore the feasibility of using neural network (NNs) and deep learning to diagnose three common respiratory diseases with few symptom words. These three diseases are nasopharyngitis, upper respiratory infection, and bronchitis/bronch
Externí odkaz:
https://doaj.org/article/587b742809f44a7399a821b687eeeb55
Publikováno v:
Applied Sciences, Vol 14, Iss 3, p 1193 (2024)
Intracerebral hemorrhage (ICH) is a severe cerebrovascular disorder that poses a life-threatening risk, necessitating swift diagnosis and treatment. While CT scans are the most effective diagnostic tool for detecting cerebral hemorrhage, their interp
Externí odkaz:
https://doaj.org/article/9b3237700e6a44d3a8a333f6ca097545