collaborators

6 papers

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.CL2023

ViSoBERT: A Pre-Trained Language Model for Vietnamese Social Media Text Processing

Quoc-Nam Nguyen, Thang Chau Phan, Duc-Vu Nguyen +1

English and Chinese, known as resource-rich languages, have witnessed the strong development of transformer-based language models for natural language processing tasks. Although Vi…

cs.CL2023

Evaluating the Symbol Binding Ability of Large Language Models for Multiple-Choice Questions in Vietnamese General Education

Duc-Vu Nguyen, Quoc-Nam Nguyen

In this paper, we evaluate the ability of large language models (LLMs) to perform multiple choice symbol binding (MCSB) for multiple choice question answering (MCQA) tasks in zero-…

cs.CL2023

Enhancing Stance Classification on Social Media Using Quantified Moral Foundations

Hong Zhang, Quoc-Nam Nguyen, Prasanta Bhattacharya +5

This study enhances stance detection on social media by incorporating deeper psychological attributes, specifically individuals' moral foundations. These theoretically-derived dime…

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…