Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Nguyen, Ngoc Dang"'
Autor:
Lin, Jionghao, Chen, Eason, Han, Zeifei, Gurung, Ashish, Thomas, Danielle R., Tan, Wei, Nguyen, Ngoc Dang, Koedinger, Kenneth R.
Publikováno v:
A&A 687, A227 (2024)
Automated explanatory feedback systems play a crucial role in facilitating learning for a large cohort of learners by offering feedback that incorporates explanations, significantly enhancing the learning process. However, delivering such explanatory
Externí odkaz:
http://arxiv.org/abs/2405.00291
Named entity recognition (NER), a task that identifies and categorizes named entities such as persons or organizations from text, is traditionally framed as a multi-class classification problem. However, this approach often overlooks the issues of im
Externí odkaz:
http://arxiv.org/abs/2311.04918
Active learning, a widely adopted technique for enhancing machine learning models in text and image classification tasks with limited annotation resources, has received relatively little attention in the domain of Named Entity Recognition (NER). The
Externí odkaz:
http://arxiv.org/abs/2311.00906
Autor:
Lin, Jionghao, Thomas, Danielle R., Han, Feifei, Gupta, Shivang, Tan, Wei, Nguyen, Ngoc Dang, Koedinger, Kenneth R.
Research demonstrates learners engaging in the process of producing explanations to support their reasoning, can have a positive impact on learning. However, providing learners real-time explanatory feedback often presents challenges related to class
Externí odkaz:
http://arxiv.org/abs/2306.15498
Autor:
Lin, Jionghao, Tan, Wei, Nguyen, Ngoc Dang, Lang, David, Du, Lan, Buntine, Wray, Beare, Richard, Chen, Guanliang, Gasevic, Dragan
Dialogue acts (DAs) can represent conversational actions of tutors or students that take place during tutoring dialogues. Automating the identification of DAs in tutoring dialogues is significant to the design of dialogue-based intelligent tutoring s
Externí odkaz:
http://arxiv.org/abs/2304.07499
Current work in named entity recognition (NER) uses either cross entropy (CE) or conditional random fields (CRF) as the objective/loss functions to optimize the underlying NER model. Both of these traditional objective functions for the NER problem g
Externí odkaz:
http://arxiv.org/abs/2212.04800
Autor:
Nguyen Ngoc Dang, Hai1 (AUTHOR), Viet Luong, Thang2 (AUTHOR), Kiem Pham, Anh3 (AUTHOR), Trung Le, The4 (AUTHOR), Duc Le, Nhan4 (AUTHOR), Minh Nguyen, Hung5 (AUTHOR), Anh Hoang, Tien2 (AUTHOR), Anh Ho, Binh6 (AUTHOR) drhoanhbinh@gmail.com
Publikováno v:
Scientific Reports. 11/21/2024, Vol. 14 Issue 1, p1-13. 13p.
Domain adaptation is an effective solution to data scarcity in low-resource scenarios. However, when applied to token-level tasks such as bioNER, domain adaptation methods often suffer from the challenging linguistic characteristics that clinical nar
Externí odkaz:
http://arxiv.org/abs/2211.05980
Publikováno v:
The Egyptian Heart Journal, Vol 76, Iss 1, Pp 1-9 (2024)
Abstract Background Type 2 diabetes mellitus (T2DM) is a metabolic disorder that detrimentally affects multiple systems in the body, with a particular emphasis on the vascular and nervous systems. Despite its significant impact, limited studies have
Externí odkaz:
https://doaj.org/article/c04952d34c3f4291babdadbbb7d2405a
Publikováno v:
Health Science Reports, Vol 7, Iss 5, Pp n/a-n/a (2024)
Abstract Background and Aims Metabolic‐associated fatty liver disease (MAFLD) emerged as a novel term replacing nonalcoholic fatty liver disease (NAFLD) in 2020. While most MAFLD patients are asymptomatic, long‐term hepatic fat accumulation may l
Externí odkaz:
https://doaj.org/article/cf1e529d1f3644dab62133b31759c682