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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).
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.
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.
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.
