Zobrazeno 1 - 10
of 478
pro vyhledávání: '"Phong Nguyên"'
Autor:
Do, Phong Nguyen-Thuan, Tran, Son Quoc, Hoang, Phu Gia, Van Nguyen, Kiet, Nguyen, Ngan Luu-Thuy
The success of Natural Language Understanding (NLU) benchmarks in various languages, such as GLUE for English, CLUE for Chinese, KLUE for Korean, and IndoNLU for Indonesian, has facilitated the evaluation of new NLU models across a wide range of task
Externí odkaz:
http://arxiv.org/abs/2403.15882
The development of large high-quality datasets and high-performing models have led to significant advancements in the domain of Extractive Question Answering (EQA). This progress has sparked considerable interest in exploring unanswerable questions w
Externí odkaz:
http://arxiv.org/abs/2309.05103
Although the curse of multilinguality significantly restricts the language abilities of multilingual models in monolingual settings, researchers now still have to rely on multilingual models to develop state-of-the-art systems in Vietnamese Machine R
Externí odkaz:
http://arxiv.org/abs/2303.13355
Autor:
Phong, Nguyen Huu, Ribeiro, Bernardete
Recognizing human actions in video sequences, known as Human Action Recognition (HAR), is a challenging task in pattern recognition. While Convolutional Neural Networks (ConvNets) have shown remarkable success in image recognition, they are not alway
Externí odkaz:
http://arxiv.org/abs/2302.09187
Pretrained language models have achieved super-human performances on many Machine Reading Comprehension (MRC) benchmarks. Nevertheless, their relative inability to defend against adversarial attacks has spurred skepticism about their natural language
Externí odkaz:
http://arxiv.org/abs/2302.00094
Autor:
Phong, Nguyen Huu, Ribeiro, Bernardete
Publikováno v:
RECPAD 2017
In this research, we present our findings to recognize American Sign Language from series of hand gestures. While most researches in literature focus only on static handshapes, our work target dynamic hand gestures. Since dynamic signs dataset are ve
Externí odkaz:
http://arxiv.org/abs/2205.12261
Convolutional Neural Networks (ConvNets or CNNs) have been candidly deployed in the scope of computer vision and related fields. Nevertheless, the dynamics of training of these neural networks lie still elusive: it is hard and computationally expensi
Externí odkaz:
http://arxiv.org/abs/2205.10456
Autor:
Van Nguyen, Kiet, Do, Phong Nguyen-Thuan, Nguyen, Nhat Duy, Van Huynh, Tin, Nguyen, Anh Gia-Tuan, Nguyen, Ngan Luu-Thuy
Question answering (QA) is a natural language understanding task within the fields of information retrieval and information extraction that has attracted much attention from the computational linguistics and artificial intelligence research community
Externí odkaz:
http://arxiv.org/abs/2204.07002
Autor:
Phong, Nguyen Tan
Publikováno v:
In Regional Studies in Marine Science 20 December 2024 79
Autor:
Phong, Nguyen Viet, Thuy An, Nguyen Thi, Le, Thi Thanh, Thi Ngo, Quynh-Mai, Min, Byung Sun, Kim, Jeong Ah
Publikováno v:
In Journal of Molecular Structure 15 December 2024 1318 Part 2