Zobrazeno 1 - 10
of 396
pro vyhledávání: '"Nguyen, Kiet"'
Autor:
To, Long Truong, Le, Hung Tuan, Nguyen, Dat Van-Thanh, Nguyen, Manh Trong, Nguyen, Tri Thien, Van Huynh, Tin, Van Nguyen, Kiet
Large Language Models (LLMs), with gradually improving reading comprehension and reasoning capabilities, are being applied to a range of complex language tasks, including the automatic generation of language data for various purposes. However, resear
Externí odkaz:
http://arxiv.org/abs/2411.05641
Vietnamese, a low-resource language, is typically categorized into three primary dialect groups that belong to Northern, Central, and Southern Vietnam. However, each province within these regions exhibits its own distinct pronunciation variations. De
Externí odkaz:
http://arxiv.org/abs/2410.03458
This study introduces an innovative automatic labeling framework to address the challenges of lexical normalization in social media texts for low-resource languages like Vietnamese. Social media data is rich and diverse, but the evolving and varied l
Externí odkaz:
http://arxiv.org/abs/2409.20467
In this article, we propose the R2GQA system, a Retriever-Reader-Generator Question Answering system, consisting of three main components: Document Retriever, Machine Reader, and Answer Generator. The Retriever module employs advanced information ret
Externí odkaz:
http://arxiv.org/abs/2409.02840
The development of Natural Language Processing (NLI) datasets and models has been inspired by innovations in annotation design. With the rapid development of machine learning models today, the performance of existing machine learning models has quick
Externí odkaz:
http://arxiv.org/abs/2406.17716
Fact-checking is essential due to the explosion of misinformation in the media ecosystem. Although false information exists in every language and country, most research to solve the problem mainly concentrated on huge communities like English and Chi
Externí odkaz:
http://arxiv.org/abs/2405.07615
The emergence of multimodal data on social media platforms presents new opportunities to better understand user sentiments toward a given aspect. However, existing multimodal datasets for Aspect-Category Sentiment Analysis (ACSA) often focus on textu
Externí odkaz:
http://arxiv.org/abs/2405.00543
Autor:
Pham, Huy Quang, Nguyen, Thang Kien-Bao, Van Nguyen, Quan, Tran, Dan Quang, Nguyen, Nghia Hieu, Van Nguyen, Kiet, Nguyen, Ngan Luu-Thuy
Optical Character Recognition - Visual Question Answering (OCR-VQA) is the task of answering text information contained in images that have just been significantly developed in the English language in recent years. However, there are limited studies
Externí odkaz:
http://arxiv.org/abs/2404.18397
Autor:
Van Nguyen, Quan, Tran, Dan Quang, Pham, Huy Quang, Nguyen, Thang Kien-Bao, Nguyen, Nghia Hieu, Van Nguyen, Kiet, Nguyen, Ngan Luu-Thuy
Visual Question Answering (VQA) is a complicated task that requires the capability of simultaneously processing natural language and images. Initially, this task was researched, focusing on methods to help machines understand objects and scene contex
Externí odkaz:
http://arxiv.org/abs/2404.10652
Autor:
Do, Phong Nguyen-Thuan, Tran, Son Quoc, Hoang, Phu Gia, Van Nguyen, Kiet, Nguyen, Ngan Luu-Thuy
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 facilitated the evaluation of new NLU models across a wide range of task
Externí odkaz:
http://arxiv.org/abs/2403.15882