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pro vyhledávání: '"Pham, Thai Hoang"'
Although recent advances in machine learning have shown its success to learn from independent and identically distributed (IID) data, it is vulnerable to out-of-distribution (OOD) data in an open world. Domain generalization (DG) deals with such an i
Externí odkaz:
http://arxiv.org/abs/2405.06816
Sleep staging has become a critical task in diagnosing and treating sleep disorders to prevent sleep related diseases. With growing large scale sleep databases, significant progress has been made toward automatic sleep staging. However, previous stud
Externí odkaz:
http://arxiv.org/abs/2312.03196
The prevalence of memes on social media has created the need to sentiment analyze their underlying meanings for censoring harmful content. Meme censoring systems by machine learning raise the need for a semi-supervised learning solution to take advan
Externí odkaz:
http://arxiv.org/abs/2304.00020
As machine learning (ML) algorithms are increasingly used in high-stakes applications, concerns have arisen that they may be biased against certain social groups. Although many approaches have been proposed to make ML models fair, they typically rely
Externí odkaz:
http://arxiv.org/abs/2301.13323
Complication risk profiling is a key challenge in the healthcare domain due to the complex interaction between heterogeneous entities (e.g., visit, disease, medication) in clinical data. With the availability of real-world clinical data such as elect
Externí odkaz:
http://arxiv.org/abs/2109.12276
International Classification of Disease (ICD) coding procedure which refers to tagging medical notes with diagnosis codes has been shown to be effective and crucial to the billing system in medical sector. Currently, ICD codes are assigned to a clini
Externí odkaz:
http://arxiv.org/abs/2104.10652
Autor:
Pham, Thai-Hoang, Mai, Khai, Trung, Nguyen Minh, Duc, Nguyen Tuan, Bolegala, Danushka, Sasano, Ryohei, Sekine, Satoshi
Fine-Grained Named Entity Recognition (FG-NER) is critical for many NLP applications. While classical named entity recognition (NER) has attracted a substantial amount of research, FG-NER is still an open research domain. The current state-of-the-art
Externí odkaz:
http://arxiv.org/abs/1902.10118
Autor:
Pham, Thai-Hoang, Qiu, Yue, Liu, Jiahui, Zimmer, Steven, O’Neill, Eric, Xie, Lei, Zhang, Ping
Publikováno v:
In Patterns 8 April 2022 3(4)
Autor:
Le-Hong, Phuong, Pham, Thai Hoang, Pham, Xuan Khoai, Nguyen, Thi Minh Huyen, Nguyen, Thi Luong, Nguyen, Minh Hiep
In this paper, we study semantic role labelling (SRL), a subtask of semantic parsing of natural language sentences and its application for the Vietnamese language. We present our effort in building Vietnamese PropBank, the first Vietnamese SRL corpus
Externí odkaz:
http://arxiv.org/abs/1711.10124
This paper presents an empirical study of two machine translation-based approaches for Vietnamese diacritic restoration problem, including phrase-based and neural-based machine translation models. This is the first work that applies neural-based mach
Externí odkaz:
http://arxiv.org/abs/1709.07104