25 citations · 63 across the 9 of their papers we have counts for
11 papers · 1 filter
Cross-lingual Extended Named Entity Classification of Wikipedia Articles
The Viet Bui, Phuong Le-Hong
The FPT.AI team participated in the SHINRA2020-ML subtask of the NTCIR-15 SHINRA task. This paper describes our method to solving the problem and discusses the official results. Ou…
Improving Sequence Tagging for Vietnamese Text Using Transformer-based Neural Models
Viet Bui The, Oanh Tran Thi, Phuong Le-Hong
This paper describes our study on using mutilingual BERT embeddings and some new neural models for improving sequence tagging tasks for the Vietnamese language. We propose new mode…
Towards Task-Oriented Dialogue in Mixed Domains
Tho Luong Chi, Phuong Le-Hong
This work investigates the task-oriented dialogue problem in mixed-domain settings. We study the effect of alternating between different domains in sequences of dialogue turns usin…
A Comparative Study of Neural Network Models for Sentence Classification
Phuong Le-Hong, Anh-Cuong Le
This paper presents an extensive comparative study of four neural network models, including feed-forward networks, convolutional networks, recurrent networks and long short-term me…
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…
NNVLP: A Neural Network-Based Vietnamese Language Processing Toolkit
Thai-Hoang Pham, Xuan-Khoai Pham, Tuan-Anh Nguyen +1
This paper demonstrates neural network-based toolkit namely NNVLP for essential Vietnamese language processing tasks including part-of-speech (POS) tagging, chunking, named entity…
Content-based Approach for Vietnamese Spam SMS Filtering
Thai-Hoang Pham, Phuong Le-Hong
Short Message Service (SMS) spam is a serious problem in Vietnam because of the availability of very cheap pre-paid SMS packages. There are some systems to detect and filter spam m…
End-to-end Recurrent Neural Network Models for Vietnamese Named Entity Recognition: Word-level vs. Character-level
Thai-Hoang Pham, Phuong Le-Hong
This paper demonstrates end-to-end neural network architectures for Vietnamese named entity recognition. Our best model is a combination of bidirectional Long Short-Term Memory (Bi…
Vietnamese Named Entity Recognition using Token Regular Expressions and Bidirectional Inference
Phuong Le-Hong
This paper describes an efficient approach to improve the accuracy of a named entity recognition system for Vietnamese. The approach combines regular expressions over tokens and a…