33 citations · 188 across the 22 of their papers we have counts for
29 papers
XLMRQA: Open-Domain Question Answering on Vietnamese Wikipedia-based Textual Knowledge Source
Kiet Van Nguyen, Phong Nguyen-Thuan Do, Nhat Duy Nguyen +3
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 co…
Global-Local Attention for Emotion Recognition
Nhat Le, Khanh Nguyen, Anh Nguyen +1
Human emotion recognition is an active research area in artificial intelligence and has made substantial progress over the past few years. Many recent works mainly focus on facial…
Monolingual versus Multilingual BERTology for Vietnamese Extractive Multi-Document Summarization
Huy Quoc To, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen +1
Recent researches have demonstrated that BERT shows potential in a wide range of natural language processing tasks. It is adopted as an encoder for many state-of-the-art automatic…
Self-Supervised Generative Adversarial Network for Depth Estimation in Laparoscopic Images
Baoru Huang, Jianqing Zheng, Anh Nguyen +4
Dense depth estimation and 3D reconstruction of a surgical scene are crucial steps in computer assisted surgery. Recent work has shown that depth estimation from a stereo images pa…
Multiple Meta-model Quantifying for Medical Visual Question Answering
Tuong Do, Binh X. Nguyen, Erman Tjiputra +3
Transfer learning is an important step to extract meaningful features and overcome the data limitation in the medical Visual Question Answering (VQA) task. However, most of the exi…
Sentence Extraction-Based Machine Reading Comprehension for Vietnamese
Phong Nguyen-Thuan Do, Nhat Duy Nguyen, Tin Van Huynh +3
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 rece…
Inverting Adversarially Robust Networks for Image Synthesis
Renan A. Rojas-Gomez, Raymond A. Yeh, Minh N. Do +1
Despite unconditional feature inversion being the foundation of many image synthesis applications, training an inverter demands a high computational budget, large decoding capacity…
Federated Artificial Intelligence for Unified Credit Assessment
Minh-Duc Hoang, Linh Le, Anh-Tuan Nguyen +2
With the rapid adoption of Internet technologies, digital footprints have become ubiquitous and versatile to revolutionise the financial industry in digital transformation. This pa…
Graph-based Person Signature for Person Re-Identifications
Binh X. Nguyen, Binh D. Nguyen, Tuong Do +3
The task of person re-identification (ReID) is to match images of the same person over multiple non-overlapping camera views. Due to the variations in visual factors, previous work…
Domain Invariant Representation Learning with Domain Density Transformations
A. Tuan Nguyen, Toan Tran, Yarin Gal +1
Domain generalization refers to the problem where we aim to train a model on data from a set of source domains so that the model can generalize to unseen target domains. Naively tr…
Deep Learning Framework Applied for Predicting Anomaly of Respiratory Sounds
Dat Ngo, Lam Pham, Anh Nguyen +3
This paper proposes a robust deep learning framework used for classifying anomaly of respiratory cycles. Initially, our framework starts with front-end feature extraction step. Thi…
ReINTEL: A Multimodal Data Challenge for Responsible Information Identification on Social Network Sites
Duc-Trong Le, Xuan-Son Vu, Nhu-Dung To +8
This paper reports on the ReINTEL Shared Task for Responsible Information Identification on social network sites, which is hosted at the seventh annual workshop on Vietnamese Langu…
Autonomous Navigation with Mobile Robots using Deep Learning and the Robot Operating System
Anh Nguyen, Quang Tran
Autonomous navigation is a long-standing field of robotics research, which provides an essential capability for mobile robots to execute a series of tasks on the same environments…
A Pilot Study of Text-to-SQL Semantic Parsing for Vietnamese
Anh Tuan Nguyen, Mai Hoang Dao, Dat Quoc Nguyen
Semantic parsing is an important NLP task. However, Vietnamese is a low-resource language in this research area. In this paper, we present the first public large-scale Text-to-SQL…
Gender Prediction Based on Vietnamese Names with Machine Learning Techniques
Huy Quoc To, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen +1
As biological gender is one of the aspects of presenting individual human, much work has been done on gender classification based on people names. The proposals for English and Chi…
A Vietnamese Dataset for Evaluating Machine Reading Comprehension
Kiet Van Nguyen, Duc-Vu Nguyen, Anh Gia-Tuan Nguyen +1
Over 97 million people speak Vietnamese as their native language in the world. However, there are few research studies on machine reading comprehension (MRC) for Vietnamese, the ta…
TATL at W-NUT 2020 Task 2: A Transformer-based Baseline System for Identification of Informative COVID-19 English Tweets
Anh Tuan Nguyen
As the COVID-19 outbreak continues to spread throughout the world, more and more information about the pandemic has been shared publicly on social media. For example, there are a h…
An Experimental Study of Deep Neural Network Models for Vietnamese Multiple-Choice Reading Comprehension
Son T. Luu, Kiet Van Nguyen, Anh Gia-Tuan Nguyen +1
Machine reading comprehension (MRC) is a challenging task in natural language processing that makes computers understanding natural language texts and answer questions based on tho…
New Vietnamese Corpus for Machine Reading Comprehension of Health News Articles
Kiet Van Nguyen, Tin Van Huynh, Duc-Vu Nguyen +2
Large-scale and high-quality corpora are necessary for evaluating machine reading comprehension models on a low-resource language like Vietnamese. Besides, machine reading comprehe…
Sound Context Classification Basing on Join Learning Model and Multi-Spectrogram Features
Dat Ngo, Hao Hoang, Anh Nguyen +2
In this paper, we present a deep learning framework applied for Acoustic Scene Classification (ASC), the task of classifying scene contexts from environmental input sounds. An ASC…
BERTweet: A pre-trained language model for English Tweets
Dat Quoc Nguyen, Thanh Vu, Anh Tuan Nguyen
We present BERTweet, the first public large-scale pre-trained language model for English Tweets. Our BERTweet, having the same architecture as BERT-base (Devlin et al., 2019), is t…
PhoBERT: Pre-trained language models for Vietnamese
Dat Quoc Nguyen, Anh Tuan Nguyen
We present PhoBERT with two versions, PhoBERT-base and PhoBERT-large, the first public large-scale monolingual language models pre-trained for Vietnamese. Experimental results show…
Job Prediction: From Deep Neural Network Models to Applications
Tin Van Huynh, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen +1
Determining the job is suitable for a student or a person looking for work based on their job's descriptions such as knowledge and skills that are difficult, as well as how employe…
Enhancing lexical-based approach with external knowledge for Vietnamese multiple-choice machine reading comprehension
Kiet Van Nguyen, Khiem Vinh Tran, Son T. Luu +2
Although Vietnamese is the 17th most popular native-speaker language in the world, there are not many research studies on Vietnamese machine reading comprehension (MRC), the task o…