Search Results for author:
Found 14 papers, 4 papers with code
Cross-lingual Extended Named Entity Classification of Wikipedia Articles
The FPT. AI team participated in the SHINRA2020-ML subtask of the NTCIR-15 SHINRA task.
Improving Sequence Tagging for Vietnamese Text Using Transformer-based Neural Models
This paper describes our study on using mutilingual BERT embeddings and some new neural models for improving sequence tagging tasks for the Vietnamese language.
Towards Task-Oriented Dialogue in Mixed Domains
This work investigates the task-oriented dialogue problem in mixed-domain settings.
A Comparative Study of Neural Network Models for Sentence Classification
This paper presents an extensive comparative study of four neural network models, including feed-forward networks, convolutional networks, recurrent networks and long short-term memory networks, on two sentence classification datasets of English and Vietnamese text.
A Factoid Question Answering System for Vietnamese
In this paper, we describe the development of an end-to-end factoid question answering system for the Vietnamese language.
Vietnamese Semantic Role Labelling
We present our effort in building Vietnamese PropBank, the first Vietnamese SRL corpus and a software system for labelling semantic roles of Vietnamese texts.
On the Use of Machine Translation-Based Approaches for Vietnamese Diacritic Restoration
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.
An Empirical Study of Discriminative Sequence Labeling Models for Vietnamese Text Processing
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 fundamental tasks for Vietnamese text processing, including part-of-speech tagging and named entity recognition.
NNVLP: A Neural Network-Based Vietnamese Language Processing Toolkit
This paper demonstrates neural network-based toolkit namely NNVLP for essential Vietnamese language processing tasks including part-of-speech (POS) tagging, chunking, named entity recognition (NER).
The Importance of Automatic Syntactic Features in Vietnamese Named Entity Recognition
This paper presents a state-of-the-art system for Vietnamese Named Entity Recognition (NER).
End-to-end Recurrent Neural Network Models for Vietnamese Named Entity Recognition: Word-level vs. Character-level
This paper demonstrates end-to-end neural network architectures for Vietnamese named entity recognition.
Content-based Approach for Vietnamese Spam SMS Filtering
In this work, we propose the first system for filtering Vietnamese spam SMS.
Building a Semantic Role Labelling System for Vietnamese
This system, including software and corpus, is available as an open source project and we believe that it is a good baseline for the development of future Vietnamese SRL systems.
Vietnamese Named Entity Recognition using Token Regular Expressions and Bidirectional Inference
The approach combines regular expressions over tokens and a bidirectional inference method in a sequence labelling model.
