activity
20192022
most citedHate Speech Detection on Vietnamese Social Media Text using the Bi-GRU-LSTM-CNN Model

32 citations · 75 across the 15 of their papers we have counts for

collaborators

33 papers

cs.CL2022

A Comparative Study of Question Answering over Knowledge Bases

Khiem Vinh Tran, Hao Phu Phan, Khang Nguyen Duc Quach +3

Question answering over knowledge bases (KBQA) has become a popular approach to help users extract information from knowledge bases. Although several systems exist, choosing one su…

cs.CL20222 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.CL2021

Span Labeling Approach for Vietnamese and Chinese Word Segmentation

Duc-Vu Nguyen, Linh-Bao Vo, Dang Van Thin +1

In this paper, we propose a span labeling approach to model n-gram information for Vietnamese word segmentation, namely SPAN SEG. We compare the span labeling approach with the con…

cs.CL20216 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

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…