Zobrazeno 1 - 10
of 122
pro vyhledávání: '"Rafal, Rzepka"'
Moral AI has been studied in the fields of philosophy and artificial intelligence. Although most existing studies are only theoretical, recent developments in AI have made it increasingly necessary to implement AI with morality. On the other hand, hu
Externí odkaz:
http://arxiv.org/abs/2306.11432
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5912 (2024)
The rapid advancement of artificial intelligence (AI) and natural language processing (NLP) has profoundly impacted our understanding of emotions, decision-making, and opinions, particularly within the context of the Internet and social media [...]
Externí odkaz:
https://doaj.org/article/69bca73c36294b07a63a5fe6033bd70c
Autor:
Lu Wang, Sho Isomura, Michal Ptaszynski, Pawel Dybala, Yuki Urabe, Rafal Rzepka, Fumito Masui
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4439 (2024)
Wide adoption of social media has caused an explosion of information stored online, with the majority of that information containing subjective, opinionated, and emotional content produced daily by users. The field of emotion analysis has helped effe
Externí odkaz:
https://doaj.org/article/d0819dd7bc26421daaa421f272a927dc
Publikováno v:
Applied Sciences, Vol 14, Iss 10, p 4330 (2024)
Propaganda in the digital era is often associated with online news. In this study, we focused on the use of large language models and their detection of propaganda techniques in the electronic press to investigate whether it is a noteworthy replaceme
Externí odkaz:
https://doaj.org/article/79b81a895742404aa653e404e0d7c4a3
Publikováno v:
Applied Sciences, Vol 13, Iss 7, p 4506 (2023)
The popularity of social media services has led to an increase of personality-relevant data in online spaces. While the majority of people who use these services tend to express their personality through measures offered by the Myers–Briggs Type In
Externí odkaz:
https://doaj.org/article/90e4158fa18e43ca994c680bedacaa4c
Publikováno v:
IEEE Access, Vol 9, Pp 103091-103109 (2021)
When people debate, they want to familiarize themselves with a whole range of arguments about a given topic in order to deepen their knowledge and inspire new claims. However, the amount of differently phrased arguments is humongous, making the proce
Externí odkaz:
https://doaj.org/article/3a24efbff369436cb8485364adadca1c
Publikováno v:
Applied Sciences, Vol 12, Iss 4, p 2081 (2022)
Recent years have brought an unprecedented and rapid development in the field of Natural Language Processing. To a large degree this is due to the emergence of modern language models like GPT-3 (Generative Pre-trained Transformer 3), XLNet, and BERT
Externí odkaz:
https://doaj.org/article/c410024ed36e43568774490ca3ce3b3d
Publikováno v:
Advances in Human-Computer Interaction, Vol 2019 (2019)
Externí odkaz:
https://doaj.org/article/3b9869affbbb45f9954914f710055fc6
Autor:
Akihiko Obayashi, Rafal Rzepka
Publikováno v:
Procedia Computer Science. 207:3065-3072
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b4ba264ecf9007b07b5b7f4516d0e7b
https://doi.org/10.1016/j.procs.2022.09.364
https://doi.org/10.1016/j.procs.2022.09.364
Publikováno v:
2022 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcfbfac9f2f394e44d32cf1a91197885
https://doi.org/10.1109/csde56538.2022.10089309
https://doi.org/10.1109/csde56538.2022.10089309