5 citations · 9 across the 6 of their papers we have counts for
9 papers
Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning
Thai-Hoang Pham, Changchang Yin, Laxmi Mehta +2
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…
TransICD: Transformer Based Code-wise Attention Model for Explainable ICD Coding
Biplob Biswas, Thai-Hoang Pham, Ping Zhang
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…
Multi-Task Learning with Contextualized Word Representations for Extented Named Entity Recognition
Thai-Hoang Pham, Khai Mai, Nguyen Minh Trung +4
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,…
Vietnamese Semantic Role Labelling
Phuong Le-Hong, Thai Hoang Pham, Xuan Khoai Pham +3
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 e…
On the Use of Machine Translation-Based Approaches for Vietnamese Diacritic Restoration
Thai-Hoang Pham, Xuan-Khoai Pham, Phuong Le-Hong
This paper presents an empirical study of two machine translation-based approaches for Vietnamese diacritic restoration problem, including phrase-based and neural-based machine tra…
An Empirical Study of Discriminative Sequence Labeling Models for Vietnamese Text Processing
Phuong Le-Hong, Minh Pham Quang Nhat, Thai-Hoang Pham +2
This paper presents an empirical study of two widely-used sequence prediction models, Conditional Random Fields (CRFs) and Long Short-Term Memory Networks (LSTMs), on two fundament…