Zobrazeno 1 - 10
of 202
pro vyhledávání: '"Ngan Luu"'
Publikováno v:
Vietnam Journal of Computer Science, Vol 11, Iss 01, Pp 137-165 (2024)
Sentiment Analysis (SA) has attracted increasing research attention in recent years. Most existing works tackle the SA task by fine-tuning single pre-trained language models combined with specific layers. Despite their effectiveness, the previous stu
Externí odkaz:
https://doaj.org/article/97669d0431b34af796cfd2148782991f
Publikováno v:
Journal of Information and Telecommunication, Vol 7, Iss 2, Pp 121-143 (2023)
ABSTRACTAspect-based sentiment analysis (ABSA) has attracted many researchers' attention in recent years. However, the lack of benchmark datasets for specific languages is a common challenge because of the prohibitive cost of manual annotation. The z
Externí odkaz:
https://doaj.org/article/47c8fab5e56648948a68813f7d56036f
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
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
Publikováno v:
IEEE Access, Vol 8, Pp 201404-201417 (2020)
Although Vietnamese is the 17th most popular native-speaker language in the world, there are not many research studies on Vietnamese machine reading comprehension (MRC), the task of understanding a text and answering questions about it. One of the re
Externí odkaz:
https://doaj.org/article/4852f02312cb433286e1a1a98cf17538
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
VlogQA: Task, Dataset, and Baseline Models for Vietnamese Spoken-Based Machine Reading Comprehension
This paper presents the development process of a Vietnamese spoken language corpus for machine reading comprehension (MRC) tasks and provides insights into the challenges and opportunities associated with using real-world data for machine reading com
Externí odkaz:
http://arxiv.org/abs/2402.02655
The ComOM shared task aims to extract comparative opinions from product reviews in Vietnamese language. There are two sub-tasks, including (1) Comparative Sentence Identification (CSI) and (2) Comparative Element Extraction (CEE). The first task is t
Externí odkaz:
http://arxiv.org/abs/2312.09000
Abuse in its various forms, including physical, psychological, verbal, sexual, financial, and cultural, has a negative impact on mental health. However, there are limited studies on applying natural language processing (NLP) in this field in Vietnam.
Externí odkaz:
http://arxiv.org/abs/2312.07831