12 citations · 34 across the 13 of their papers we have counts for
8 papers · 1 filter
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…
Building a Semantic Role Labelling System for Vietnamese
Thai-Hoang Pham, Xuan-Khoai Pham, Phuong Le-Hong
Semantic role labelling (SRL) is a task in natural language processing which detects and classifies the semantic arguments associated with the predicates of a sentence. It is an im…
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…
The Importance of Automatic Syntactic Features in Vietnamese Named Entity Recognition
Thai-Hoang Pham, Phuong Le-Hong
This paper presents a state-of-the-art system for Vietnamese Named Entity Recognition (NER). By incorporating automatic syntactic features with word embeddings as input for bidirec…
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…