41 citations · 89 across the 13 of their papers we have counts for
14 papers
ViLegalNLI: Natural Language Inference for Vietnamese Legal Texts
Nhung Thi-Hong Duong, Mai Ngoc Ho, Tin Van Huynh +1
In this article, we introduce ViLegalNLI, the first large-scale Vietnamese Natural Language Inference (NLI) dataset specifically constructed for the legal domain. The dataset consi…
ViCLSR: A Supervised Contrastive Learning Framework with Natural Language Inference for Natural Language Understanding Tasks
Tin Van Huynh, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen
High-quality text representations are crucial for natural language understanding (NLU), but low-resource languages like Vietnamese face challenges due to limited annotated data. Wh…
DSC2025 -- ViHallu Challenge: Detecting Hallucination in Vietnamese LLMs
Anh Thi-Hoang Nguyen, Khanh Quoc Tran, Tin Van Huynh +3
The reliability of large language models (LLMs) in production environments remains significantly constrained by their propensity to generate hallucinations -- fluent, plausible-sou…
Transformer-Based Contextualized Language Models Joint with Neural Networks for Natural Language Inference in Vietnamese
Dat Van-Thanh Nguyen, Tin Van Huynh, Kiet Van Nguyen +1
Natural Language Inference (NLI) is a task within Natural Language Processing (NLP) that holds value for various AI applications. However, there have been limited studies on Natura…
Evaluating Large Language Model Capability in Vietnamese Fact-Checking Data Generation
Long Truong To, Hung Tuan Le, Dat Van-Thanh Nguyen +4
Large Language Models (LLMs), with gradually improving reading comprehension and reasoning capabilities, are being applied to a range of complex language tasks, including the autom…
A New Benchmark Dataset and Mixture-of-Experts Language Models for Adversarial Natural Language Inference in Vietnamese
Tin Van Huynh, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen
Existing Vietnamese Natural Language Inference (NLI) datasets lack adversarial complexity, limiting their ability to evaluate model robustness against challenging linguistic phenom…
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…
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…
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…
SA2SL: From Aspect-Based Sentiment Analysis to Social Listening System for Business Intelligence
Luong Luc Phan, Phuc Huynh Pham, Kim Thi-Thanh Nguyen +5
In this paper, we present a process of building a social listening system based on aspect-based sentiment analysis in Vietnamese from creating a dataset to building a real applicat…
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…
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…
Hate Speech Detection on Vietnamese Social Media Text using the Bi-GRU-LSTM-CNN Model
Tin Van Huynh, Vu Duc Nguyen, Kiet Van Nguyen +2
In recent years, Hate Speech Detection has become one of the interesting fields in natural language processing or computational linguistics. In this paper, we present the descripti…
Author Name Disambiguation by Using Deep Neural Network
Hung Nghiep Tran, Tin Huynh, Tien Do
Author name ambiguity decreases the quality and reliability of information retrieved from digital libraries. Existing methods have tried to solve this problem by predefining a feat…