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pro vyhledávání: '"Do, Phong"'
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
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:
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:
Do, Phong Nguyen-Thuan, Nguyen, Nhat Duy, Van Huynh, Tin, Van Nguyen, Kiet, Nguyen, Anh Gia-Tuan, Nguyen, Ngan Luu-Thuy
The development of natural language processing (NLP) in general and machine reading comprehension in particular has attracted the great attention of the research community. In recent years, there are a few datasets for machine reading comprehension t
Externí odkaz:
http://arxiv.org/abs/2105.09043
Autor:
Carrasco-Casado, Alberto, Do, Phong Xuan, Kolev, Dimitar, Hosonuma, Takayuki, Shiratama, Koichi, Kunimori, Hiroo, Trinh, Phuc V., Abe, Yuma, Nakasuka, Shinichi, Toyoshima, Morio
Publikováno v:
Proceedings of the 2019 IEEE International Conference on Space Optical Systems and Applications (ICSOS)
LEO-to-GEO intersatellite links using laser communications bring important benefits to greatly enhance applications such as downloading big amounts of data from LEO satellites by using the GEO satellite as a relay. By using this strategy, the total a
Externí odkaz:
http://arxiv.org/abs/2002.02791
This paper presents a study of employing Ranking SVM and Convolutional Neural Network for two missions: legal information retrieval and question answering in the Competition on Legal Information Extraction/Entailment. For the first task, our proposed
Externí odkaz:
http://arxiv.org/abs/1703.05320
Autor:
Le, Hanh Quang1 (AUTHOR) hanhquangle@googlemail.com, Do, Phong Ngoc2 (AUTHOR) phongdn@rfi.com.vn
Publikováno v:
Geomechanik und Tunnelbau. Jun2023, Vol. 16 Issue 3, p312-319. 8p.
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