6 citations · 7 across the 13 of their papers we have counts for
11 papers · 1 filter
Beyond Phones: Structured Phonemic Modeling for Vietnamese Automatic Speech Recognition
Nghia Hieu Nguyen, Quan Ngoc Hoang, Long Hoang Huu Nguyen +2
Phone-based representations provide a compact and acoustically grounded alternative to conventional orthographic modeling for automatic speech recognition (ASR). However, phones de…
Phonetic Modeling of Dialectal Variation in Vietnamese Speech
Quan Ngoc Hoang, Long Hoang Huu Nguyen, Nghia Hieu Nguyen +2
Vietnamese exhibits substantial dialectal phonetic variation across Northern, Central, and Southern regions, where identical lexical items may be realized with markedly different p…
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),…
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…
ViMRHP: A Vietnamese Benchmark Dataset for Multimodal Review Helpfulness Prediction via Human-AI Collaborative Annotation
Truc Mai-Thanh Nguyen, Dat Minh Nguyen, Son T. Luu +1
Multimodal Review Helpfulness Prediction (MRHP) is an essential task in recommender systems, particularly in E-commerce platforms. Determining the helpfulness of user-generated rev…
LiGT: Layout-infused Generative Transformer for Visual Question Answering on Vietnamese Receipts
Thanh-Phong Le, Trung Le Chi Phan, Nghia Hieu Nguyen +1
Document Visual Question Answering (Document VQA) challenges multimodal systems to holistically handle textual, layout, and visual modalities to provide appropriate answers. Docume…
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…
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…
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…
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…
VLUE: A New Benchmark and Multi-task Knowledge Transfer Learning for Vietnamese Natural Language Understanding
Phong Nguyen-Thuan Do, Son Quoc Tran, Phu Gia Hoang +2
The success of Natural Language Understanding (NLU) benchmarks in various languages, such as GLUE for English, CLUE for Chinese, KLUE for Korean, and IndoNLU for Indonesian, has fa…