output
20192026
most citedVLSP 2021 - ViMRC Challenge: Vietnamese Machine Reading Comprehension

12 citations

12 papers

cs.DC2026

QCOEM: Quantum Cloud Orchestration with Evolutionary Multi-Objective Optimization

Tam N. Pham, Hoa T. Nguyen, Quan Le-Trung

Quantum cloud platforms need to dynamically orchestrate workloads across heterogeneous quantum computation backends whose noise profiles, qubit topologies, and queues vary over tim…

cs.CL2026

ViGoEmotions: A Benchmark Dataset For Fine-grained Emotion Detection on Vietnamese Texts

Hung Quang Tran, Nam Tien Pham, Son T. Luu +1

Emotion classification plays a significant role in emotion prediction and harmful content detection. Recent advancements in NLP, particularly through large language models (LLMs),…

cs.CL2024★ 1 cited

ZeFaV: Boosting Large Language Models for Zero-shot Fact Verification

Son T. Luu, Hiep Nguyen, Trung Vo +1

In this paper, we propose ZeFaV - a zero-shot based fact-checking verification framework to enhance the performance on fact verification task of large language models by leveraging…

cs.CL2024

An Attempt to Develop a Neural Parser based on Simplified Head-Driven Phrase Structure Grammar on Vietnamese

Duc-Vu Nguyen, Thang Chau Phan, Quoc-Nam Nguyen +2

In this paper, we aimed to develop a neural parser for Vietnamese based on simplified Head-Driven Phrase Structure Grammar (HPSG). The existing corpora, VietTreebank and VnDT, had…

cs.CL2024★ 6 cited

ViTextVQA: A Large-Scale Visual Question Answering Dataset and a Novel Multimodal Feature Fusion Method for Vietnamese Text Comprehension in Images

Quan Van Nguyen, Dan Quang Tran, Huy Quang Pham +4

Visual Question Answering (VQA) is a challenging task that requires the joint understanding of natural language and visual content. While early research primarily focused on recogn…

cs.CL2024★ 2 cited

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…

cs.AI2023

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)…

cs.CY2023★ 8 cited

Factors Influencing Intention to use the COVID-19 Contact Tracing Application

Vinh T. Nguyen, Chuyen T. H. Nguyen

This study investigated the effects of variables influencing the intention to use the COVID-19 tracker. Experiment results from 224 individuals revealed that performance expectatio…

cs.CL2022★ 12 cited

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…

cs.LG2021★ 3 cited

Exploring CTC Based End-to-End Techniques for Myanmar Speech Recognition

Khin Me Me Chit, Laet Laet Lin

In this work, we explore a Connectionist Temporal Classification (CTC) based end-to-end Automatic Speech Recognition (ASR) model for the Myanmar language. A series of experiments i…

cs.CL2021★ 7 cited

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…

cs.CL2019★ 9 cited

Towards Autoencoding Variational Inference for Aspect-based Opinion Summary

Tai Hoang, Huy Le, Tho Quan

Aspect-based Opinion Summary (AOS), consisting of aspect discovery and sentiment classification steps, has recently been emerging as one of the most crucial data mining tasks in e-…