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20192023
most citedOpenViVQA: Task, Dataset, and Multimodal Fusion Models for Visual Question Answering in Vietnamese

35 citations · 284 across the 48 of their papers we have counts for

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48 papers · 1 filter

cs.CL2023

ViCGCN: Graph Convolutional Network with Contextualized Language Models for Social Media Mining in Vietnamese

Chau-Thang Phan, Quoc-Nam Nguyen, Chi-Thanh Dang +2

Social media processing is a fundamental task in natural language processing with numerous applications. As Vietnamese social media and information science have grown rapidly, the…

cs.CL2023

Link Prediction for Wikipedia Articles as a Natural Language Inference Task

Chau-Thang Phan, Quoc-Nam Nguyen, Kiet Van Nguyen

Link prediction task is vital to automatically understanding the structure of large knowledge bases. In this paper, we present our system to solve this task at the Data Science and…

cs.CL2023★ 1 cited

BARTPhoBEiT: Pre-trained Sequence-to-Sequence and Image Transformers Models for Vietnamese Visual Question Answering

Khiem Vinh Tran, Kiet Van Nguyen, Ngan Luu Thuy Nguyen

Visual Question Answering (VQA) is an intricate and demanding task that integrates natural language processing (NLP) and computer vision (CV), capturing the interest of researchers…

cs.CL2023

PAT: Parallel Attention Transformer for Visual Question Answering in Vietnamese

Nghia Hieu Nguyen, Kiet Van Nguyen

We present in this paper a novel scheme for multimodal learning named the Parallel Attention mechanism. In addition, to take into account the advantages of grammar and context in V…

cs.CL2023★ 35 cited

OpenViVQA: Task, Dataset, and Multimodal Fusion Models for Visual Question Answering in Vietnamese

Nghia Hieu Nguyen, Duong T. D. Vo, Kiet Van Nguyen +1

In recent years, visual question answering (VQA) has attracted attention from the research community because of its highly potential applications (such as virtual assistance on int…

cs.CL2023

Revealing Weaknesses of Vietnamese Language Models Through Unanswerable Questions in Machine Reading Comprehension

Son Quoc Tran, Phong Nguyen-Thuan Do, Kiet Van Nguyen +1

Although the curse of multilinguality significantly restricts the language abilities of multilingual models in monolingual settings, researchers now still have to rely on multiling…

cs.CL2023★ 2 cited

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…

cs.CL2023★ 18 cited

EVJVQA Challenge: Multilingual Visual Question Answering

Ngan Luu-Thuy Nguyen, Nghia Hieu Nguyen, Duong T. D Vo +2

Visual Question Answering (VQA) is a challenging task of natural language processing (NLP) and computer vision (CV), attracting significant attention from researchers. English is a…

cs.CL2023★ 5 cited

ViHOS: Hate Speech Spans Detection for Vietnamese

Phu Gia Hoang, Canh Duc Luu, Khanh Quoc Tran +2

The rise in hateful and offensive language directed at other users is one of the adverse side effects of the increased use of social networking platforms. This could make it diffic…

cs.CL2022★ 2 cited

SMTCE: A Social Media Text Classification Evaluation Benchmark and BERTology Models for Vietnamese

Luan Thanh Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen

Text classification is a typical natural language processing or computational linguistics task with various interesting applications. As the number of users on social media platfor…

cs.CL2022★ 1 cited

SPBERTQA: A Two-Stage Question Answering System Based on Sentence Transformers for Medical Texts

Nhung Thi-Hong Nguyen, Phuong Phan-Dieu Ha, Luan Thanh Nguyen +2

Question answering (QA) systems have gained explosive attention in recent years. However, QA tasks in Vietnamese do not have many datasets. Significantly, there is mostly no datase…

cs.CL2022★ 4 cited

Vietnamese Hate and Offensive Detection using PhoBERT-CNN and Social Media Streaming Data

Khanh Q. Tran, An T. Nguyen, Phu Gia Hoang +3

Society needs to develop a system to detect hate and offense to build a healthy and safe environment. However, current research in this field still faces four major shortcomings, i…

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.CL2022

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…

cs.CL2021★ 4 cited

Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-stage Span Labeling

Duc-Vu Nguyen, Linh-Bao Vo, Ngoc-Linh Tran +2

Chinese word segmentation and part-of-speech tagging are necessary tasks in terms of computational linguistics and application of natural language processing. Many re-searchers sti…

cs.CL2021★ 3 cited

Span Detection for Aspect-Based Sentiment Analysis in Vietnamese

Kim Thi-Thanh Nguyen, Sieu Khai Huynh, Luong Luc Phan +3

Aspect-based sentiment analysis plays an essential role in natural language processing and artificial intelligence. Recently, researchers only focused on aspect detection and senti…

cs.CL2021★ 6 cited

Monolingual versus Multilingual BERTology for Vietnamese Extractive Multi-Document Summarization

Huy Quoc To, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen +1

Recent researches have demonstrated that BERT shows potential in a wide range of natural language processing tasks. It is adopted as an encoder for many state-of-the-art automatic…

cs.CL2021

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…

cs.CL2021

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…

cs.CL2021★ 6 cited

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…

cs.CL2021

UIT-E10dot3 at SemEval-2021 Task 5: Toxic Spans Detection with Named Entity Recognition and Question-Answering Approaches

Phu Gia Hoang, Luan Thanh Nguyen, Kiet Van Nguyen

The increment of toxic comments on online space is causing tremendous effects on other vulnerable users. For this reason, considerable efforts are made to deal with this, and SemEv…

cs.CL2021

Vietnamese Complaint Detection on E-Commerce Websites

Nhung Thi-Hong Nguyen, Phuong Phan-Dieu Ha, Luan Thanh Nguyen +2

Customer product reviews play a role in improving the quality of products and services for business organizations or their brands. Complaining is an attitude that expresses dissati…

cs.CL2021★ 26 cited

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…

cs.CL2021★ 5 cited

Constructive and Toxic Speech Detection for Open-domain Social Media Comments in Vietnamese

Luan Thanh Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen

The rise of social media has led to the increasing of comments on online forums. However, there still exists invalid comments which are not informative for users. Moreover, those c…