Son T. Luu
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View article: Automated Web Application Testing: End-to-End Test Case Generation with Large Language Models and Screen Transition Graphs
Automated Web Application Testing: End-to-End Test Case Generation with Large Language Models and Screen Transition Graphs Open
Web applications are critical to modern software ecosystems, yet ensuring their reliability remains challenging due to the complexity and dynamic nature of web interfaces. Recent advances in large language models (LLMs) have shown promise …
View article: AS400-DET: Detection using Deep Learning Model for IBM i (AS/400)
AS400-DET: Detection using Deep Learning Model for IBM i (AS/400) Open
This paper proposes a method for automatic GUI component detection for the IBM i system (formerly and still more commonly known as AS/400). We introduce a human-annotated dataset consisting of 1,050 system screen images, in which 381 image…
View article: Nonparametric Inference Framework for Time-dependent Epidemic Models
Nonparametric Inference Framework for Time-dependent Epidemic Models Open
Compartmental models, especially the Susceptible-Infected-Removed (SIR) model, have long been used to understand the behaviour of various diseases. Allowing parameters, such as the transmission rate, to be time-dependent functions makes it…
View article: INTEGRATING IMAGE FEATURES WITH CONVOLUTIONAL SEQUENCE-TO-SEQUENCE NETWORK FOR MULTILINGUAL VISUAL QUESTION ANSWERING
INTEGRATING IMAGE FEATURES WITH CONVOLUTIONAL SEQUENCE-TO-SEQUENCE NETWORK FOR MULTILINGUAL VISUAL QUESTION ANSWERING Open
Visual question answering 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, but it is a challenge for computers. The VLSP2022-EVJVQA shared t…
View article: VLSP 2023 -- LTER: A Summary of the Challenge on Legal Textual Entailment Recognition
VLSP 2023 -- LTER: A Summary of the Challenge on Legal Textual Entailment Recognition Open
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 languages such as English, Japanese, and Chinese has been we…
View article: Metadata Integration for Spam Reviews Detection on Vietnamese E-Commerce Websites
Metadata Integration for Spam Reviews Detection on Vietnamese E-Commerce Websites Open
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 classified based on comment content, but in some cases, it is …
View article: VlogQA: Task, Dataset, and Baseline Models for Vietnamese Spoken-Based Machine Reading Comprehension
VlogQA: Task, Dataset, and Baseline Models for Vietnamese Spoken-Based Machine Reading Comprehension Open
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 opportunities associated with using real-world data for machine …
View article: A Text-based Approach For Link Prediction on Wikipedia Articles
A Text-based Approach For Link Prediction on Wikipedia Articles Open
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) features extracted from text to train the classification mo…
View article: ViMMRC 2.0 -- Enhancing Machine Reading Comprehension on Vietnamese Literature Text
ViMMRC 2.0 -- Enhancing Machine Reading Comprehension on Vietnamese Literature Text Open
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 ability to understand the reading text and answer relevant inf…
View article: Integrating Image Features with Convolutional Sequence-to-sequence Network for Multilingual Visual Question Answering
Integrating Image Features with Convolutional Sequence-to-sequence Network for Multilingual Visual Question Answering Open
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 but is a challenge for computers. The VLSP2022-EVJVQA shared…
View article: VLSP 2021-ViMRC Challenge: Vietnamese Machine Reading Comprehension
VLSP 2021-ViMRC Challenge: Vietnamese Machine Reading Comprehension Open
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 data. While many datasets have been developed for MRC resear…
View article: Impacts of Transformer-Based Language Models and Imbalanced Data for Hate Speech Detection on Vietnamese Social Media Texts
Impacts of Transformer-Based Language Models and Imbalanced Data for Hate Speech Detection on Vietnamese Social Media Texts Open
Hate speech detection on social media networks is the classification task that automatically detects harmful comments from users and prevents the appearance of those toxic comments on social sites. The profit of the hate speech detection t…
View article: Improving Sentiment Analysis By Emotion Lexicon Approach on Vietnamese Texts
Improving Sentiment Analysis By Emotion Lexicon Approach on Vietnamese Texts Open
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. Finding out the words that represent the emotion from the text…
View article: UIT-ViCoV19QA: A Dataset for COVID-19 Community-based Question Answering on Vietnamese Language
UIT-ViCoV19QA: A Dataset for COVID-19 Community-based Question Answering on Vietnamese Language Open
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 life and the social community. Besides, the misleading inform…
View article: Detecting Spam Reviews on Vietnamese E-commerce Websites
Detecting Spam Reviews on Vietnamese E-commerce Websites Open
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 up with this behavior, some people create untruths and ill…
View article: VLSP 2021 - ViMRC Challenge: Vietnamese Machine Reading Comprehension
VLSP 2021 - ViMRC Challenge: Vietnamese Machine Reading Comprehension Open
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 data. Existing Vietnamese datasets for MRC research concentr…
View article: Predicting Job Titles from Job Descriptions with Multi-label Text Classification
Predicting Job Titles from Job Descriptions with Multi-label Text Classification Open
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 employers need assistance to automatically detect job titl…
View article: Automatically Detecting Cyberbullying Comments on Online Game Forums
Automatically Detecting Cyberbullying Comments on Online Game Forums Open
Online game forums are popular to most of game players. They use it to\ncommunicate and discuss the strategy of the game, or even to make friends.\nHowever, game forums also contain abusive and harassment speech, disturbing and\nthreatenin…
View article: Empirical Study of Text Augmentation on Social Media Text in Vietnamese
Empirical Study of Text Augmentation on Social Media Text in Vietnamese Open
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 social networking sites not altogether appeared - the administra…
View article: Comparison Between Traditional Machine Learning Models And Neural Network Models For Vietnamese Hate Speech Detection
Comparison Between Traditional Machine Learning Models And Neural Network Models For Vietnamese Hate Speech Detection Open
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 Vietnam, the threat of offensive and harassment cause bad impacts…
View article: A Pilot Study on Multiple Choice Machine Reading Comprehension for Vietnamese Texts
A Pilot Study on Multiple Choice Machine Reading Comprehension for Vietnamese Texts Open
Machine Reading Comprehension (MRC) is the task of natural language processing which studies the ability to read and understand unstructured texts and then find the correct answers for questions. Until now, we have not yet had any MRC data…
View article: Enhancing Lexical-Based Approach With External Knowledge for Vietnamese Multiple-Choice Machine Reading Comprehension
Enhancing Lexical-Based Approach With External Knowledge for Vietnamese Multiple-Choice Machine Reading Comprehension Open
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 of understanding a text and answering questions about it. On…