Results 11 to 20 of about 407,965 (394)
ViT5: Pretrained Text-to-Text Transformer for Vietnamese Language Generation [PDF]
North American Chapter of the Association for Computational Linguistics, 2022 We present ViT5, a pretrained Transformer-based encoder-decoder model for the Vietnamese language. With T5-style self-supervised pretraining, ViT5 is trained on a large corpus of high-quality and diverse Vietnamese texts.
Long Phan +3 more
semanticscholar +1 more source
ViDeBERTa: A powerful pre-trained language model for Vietnamese [PDF]
Findings, 2023 This paper presents ViDeBERTa, a new pre-trained monolingual language model for Vietnamese, with three versions - ViDeBERTa_xsmall, ViDeBERTa_base, and ViDeBERTa_large, which are pre-trained on a large-scale corpus of high-quality and diverse Vietnamese ...
Cong Dao Tran +4 more
semanticscholar +1 more source
PhoBERT: Pre-trained language models for Vietnamese [PDF]
Findings, 2020 We present PhoBERT with two versions, PhoBERT-base and PhoBERT-large, the first public large-scale monolingual language models pre-trained for Vietnamese.
Dat Quoc Nguyen, A. Nguyen
semanticscholar +1 more source
BARTpho: Pre-trained Sequence-to-Sequence Models for Vietnamese [PDF]
Interspeech, 2021 We present BARTpho with two versions, BARTpho-syllable and BARTpho-word, which are the first public large-scale monolingual sequence-to-sequence models pre-trained for Vietnamese.
Nguyen Luong Tran +2 more
semanticscholar +1 more source
COVID-19 Named Entity Recognition for Vietnamese [PDF]
North American Chapter of the Association for Computational Linguistics, 2021 The current COVID-19 pandemic has lead to the creation of many corpora that facilitate NLP research and downstream applications to help fight the pandemic. However, most of these corpora are exclusively for English.
Thinh Hung Truong +2 more
semanticscholar +1 more source
Intent detection and slot filling for Vietnamese [PDF]
Interspeech, 2021 Intent detection and slot filling are important tasks in spoken and natural language understanding. However, Vietnamese is a low-resource language in these research topics.
M. Dao +2 more
semanticscholar +1 more source
The Impact of Digital Transformation on Performance: Evidence from Vietnamese Commercial Banks
Journal of Risk and Financial Management, 2022 The role of digital transformation in creating value for commercial banks has been interesting to researchers for a long time. While many commercial banks have significantly investigated digital transformation, researchers and managers have still met ...
Trang Do +3 more
semanticscholar +1 more source
PhoNLP: A joint multi-task learning model for Vietnamese part-of-speech tagging, named entity recognition and dependency parsing [PDF]
North American Chapter of the Association for Computational Linguistics, 2021 We present the first multi-task learning model – named PhoNLP – for joint Vietnamese part-of-speech (POS) tagging, named entity recognition (NER) and dependency parsing.
L. T. Nguyen, Dat Quoc Nguyen
semanticscholar +1 more source
Conference on Empirical Methods in Natural Language Processing, 2023 Large language models (LLMs) and their applications in low-resource languages (such as in Vietnamese) are limited due to lack of training data and benchmarking datasets.
Minh Thuan Nguyen +3 more
semanticscholar +1 more source
BMC Pediatrics, 2022 Background Functional gastrointestinal disorders (FGIDs) are common early in life. The prevalence of FGIDs varies among countries but is unknown in Vietnam.
L. W. Chia +7 more
semanticscholar +1 more source