33 citations · 182 across the 22 of their papers we have counts for
5 papers · 1 filter
Empirical Study of Text Augmentation on Social Media Text in Vietnamese
Son T. Luu, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen
In the text classification problem, the imbalance of labels in datasets affect the performance of the text-classification models. Practically, the data about user comments on socia…
BANANA at WNUT-2020 Task 2: Identifying COVID-19 Information on Twitter by Combining Deep Learning and Transfer Learning Models
Tin Van Huynh, Luan Thanh Nguyen, Son T. Luu
The outbreak COVID-19 virus caused a significant impact on the health of people all over the world. Therefore, it is essential to have a piece of constant and accurate information…
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…
Comparison Between Traditional Machine Learning Models And Neural Network Models For Vietnamese Hate Speech Detection
Son T. Luu, Hung P. Nguyen, Kiet Van Nguyen +1
Hate-speech detection on social network language has become one of the main researching fields recently due to the spreading of social networks like Facebook and Twitter. In Vietna…
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…