33 citations · 182 across the 22 of their papers we have counts for
22 papers
ViTOED: A Dataset for Target-Oriented Emotion Detection on Vietnamese Social Media Texts
Chanh Vo, Son T. Luu, Ngan Luu-Thuy Nguyen
This paper introduces ViTOED, a novel dataset for target-oriented emotion detection in Vietnamese social media texts. The ViTOED comprises 10,985 user comments and 21,244 manually…
Metadata Integration for Spam Reviews Detection on Vietnamese E-commerce Websites
Co Van Dinh, Son T. Luu
The problem of detecting spam reviews (opinions) has received significant attention in recent years, especially with the rapid development of e-commerce. Spam reviews are often cla…
ViTHSD: Exploiting Hatred by Targets for Hate Speech Detection on Vietnamese Social Media Texts
Cuong Nhat Vo, Khanh Bao Huynh, Son T. Luu +1
The growth of social networks makes toxic content spread rapidly. Hate speech detection is a task to help decrease the number of harmful comments. With the diversity in the hate sp…
VLSP 2023 -- LTER: A Summary of the Challenge on Legal Textual Entailment Recognition
Vu Tran, Ha-Thanh Nguyen, Trung Vo +7
In this new era of rapid AI development, especially in language processing, the demand for AI in the legal domain is increasingly critical. In the context where research in other l…
VlogQA: Task, Dataset, and Baseline Models for Vietnamese Spoken-Based Machine Reading Comprehension
Thinh Phuoc Ngo, Khoa Tran Anh Dang, Son T. Luu +2
This paper presents the development process of a Vietnamese spoken language corpus for machine reading comprehension (MRC) tasks and provides insights into the challenges and oppor…
A Text-based Approach For Link Prediction on Wikipedia Articles
Anh Hoang Tran, Tam Minh Nguyen, Son T. Luu
This paper present our work in the DSAA 2023 Challenge about Link Prediction for Wikipedia Articles. We use traditional machine learning models with POS tags (part-of-speech tags)…
ViMMRC 2.0 -- Enhancing Machine Reading Comprehension on Vietnamese Literature Text
Son T. Luu, Khoi Trong Hoang, Tuong Quang Pham +2
Machine reading comprehension has been an interesting and challenging task in recent years, with the purpose of extracting useful information from texts. To attain the computer abi…
Integrating Image Features with Convolutional Sequence-to-sequence Network for Multilingual Visual Question Answering
Triet Minh Thai, Son T. Luu
Visual Question Answering (VQA) is a task that requires computers to give correct answers for the input questions based on the images. This task can be solved by humans with ease b…
Improving Sentiment Analysis By Emotion Lexicon Approach on Vietnamese Texts
An Long Doan, Son T. Luu
The sentiment analysis task has various applications in practice. In the sentiment analysis task, words and phrases that represent positive and negative emotions are important. Fin…
UIT-ViCoV19QA: A Dataset for COVID-19 Community-based Question Answering on Vietnamese Language
Triet Minh Thai, Ngan Ha-Thao Chu, Anh Tuan Vo +1
For the last two years, from 2020 to 2021, COVID-19 has broken disease prevention measures in many countries, including Vietnam, and negatively impacted various aspects of human li…
Detecting Spam Reviews on Vietnamese E-commerce Websites
Co Van Dinh, Son T. Luu, Anh Gia-Tuan Nguyen
The reviews of customers play an essential role in online shopping. People often refer to reviews or comments of previous customers to decide whether to buy a new product. Catching…
VLSP 2021 - ViMRC Challenge: Vietnamese Machine Reading Comprehension
Kiet Van Nguyen, Son Quoc Tran, Luan Thanh Nguyen +3
One of the emerging research trends in natural language understanding is machine reading comprehension (MRC) which is the task to find answers to human questions based on textual d…
Predicting Job Titles from Job Descriptions with Multi-label Text Classification
Hieu Trung Tran, Hanh Hong Phuc Vo, Son T. Luu
Finding a suitable job and hunting for eligible candidates are important to job seeking and human resource agencies. With the vast information about job descriptions, employees and…
Automatically Detecting Cyberbullying Comments on Online Game Forums
Hanh Hong-Phuc Vo, Hieu Trung Tran, Son T. Luu
Online game forums are popular to most of game players. They use it to communicate and discuss the strategy of the game, or even to make friends. However, game forums also contain…
Conversational Machine Reading Comprehension for Vietnamese Healthcare Texts
Son T. Luu, Mao Nguyen Bui, Loi Duc Nguyen +3
Machine reading comprehension (MRC) is a sub-field in natural language processing that aims to assist computers understand unstructured texts and then answer questions related to t…
UIT-ISE-NLP at SemEval-2021 Task 5: Toxic Spans Detection with BiLSTM-CRF and ToxicBERT Comment Classification
Son T. Luu, Ngan Luu-Thuy Nguyen
We present our works on SemEval-2021 Task 5 about Toxic Spans Detection. This task aims to build a model for identifying toxic words in whole posts. We use the BiLSTM-CRF model com…
A Large-scale Dataset for Hate Speech Detection on Vietnamese Social Media Texts
Son T. Luu, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen
In recent years, Vietnam witnesses the mass development of social network users on different social platforms such as Facebook, Youtube, Instagram, and Tiktok. On social medias, ha…
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…