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Transformer-based models have revolutionized the field of natural language processing. To understand why they perform so well and to assess their reliability, several studies have focused on questions such as: Which linguistic properties are encoded
Externí odkaz:
http://arxiv.org/abs/2410.02611
Kniha
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Identifying user's opinions and stances in long conversation threads on various topics can be extremely critical for enhanced personalization, market research, political campaigns, customer service, conflict resolution, targeted advertising, and cont
Externí odkaz:
http://arxiv.org/abs/2406.16833
Akademický článek
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Autor:
Egami, Shusaku, Ugai, Takanori, Oota, Masateru, Matsushita, Kyoumoto, Kawamura, Takahiro, Kozaki, Kouji, Fukuda, Ken
Publikováno v:
IEEE Access, Volume 11, pp.142030-142042, 2023
Knowledge Graphs (KGs) such as Resource Description Framework (RDF) data represent relationships between various entities through the structure of triples (). Knowledge graph embedding (KGE) is crucial in machine learning
Externí odkaz:
http://arxiv.org/abs/2312.15626
Despite known differences between reading and listening in the brain, recent work has shown that text-based language models predict both text-evoked and speech-evoked brain activity to an impressive degree. This poses the question of what types of in
Externí odkaz:
http://arxiv.org/abs/2311.04664
Autor:
Masaru Oota
Publikováno v:
Journal of Medical Case Reports, Vol 18, Iss 1, Pp 1-6 (2024)
Abstract Background This case report explores the long-term dynamics of insulin secretion and glycemic control in two patients with diabetes mellitus type 2 over 20 years. The observations underscore the impact of lifestyle interventions, including w
Externí odkaz:
https://doaj.org/article/a3b6e0a5f79f44c69d3b876eb5ced268
Autor:
Oota, Masaru1 (AUTHOR) masaru-oota@hokkaido.med.or.jp
Publikováno v:
Journal of Medical Case Reports. 9/7/2024, Vol. 18 Issue 1, p1-6. 6p.
Autor:
Oota, Subba Reddy, Chen, Zijiao, Gupta, Manish, Bapi, Raju S., Jobard, Gael, Alexandre, Frederic, Hinaut, Xavier
Can we obtain insights about the brain using AI models? How is the information in deep learning models related to brain recordings? Can we improve AI models with the help of brain recordings? Such questions can be tackled by studying brain recordings
Externí odkaz:
http://arxiv.org/abs/2307.10246
Autor:
Neerudu, Pavan Kalyan Reddy, Oota, Subba Reddy, Marreddy, Mounika, Kagita, Venkateswara Rao, Gupta, Manish
Transformer-based pretrained models like BERT, GPT-2 and T5 have been finetuned for a large number of natural language processing (NLP) tasks, and have been shown to be very effective. However, while finetuning, what changes across layers in these mo
Externí odkaz:
http://arxiv.org/abs/2305.14453