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Found 12 papers, 3 papers with code
Detecting Spam Reviews on Vietnamese E-commerce Websites
These are called spam reviews, confusing consumers on online shopping platforms and negatively affecting online shopping behaviors.
XLMRQA: Open-Domain Question Answering on Vietnamese Wikipedia-based Textual Knowledge Source
Question answering (QA) is a natural language understanding task within the fields of information retrieval and information extraction that has attracted much attention from the computational linguistics and artificial intelligence research community in recent years because of the strong development of machine reading comprehension-based models.
Monolingual versus Multilingual BERTology for Vietnamese Extractive Multi-Document Summarization
Recent researches have demonstrated that BERT shows potential in a wide range of natural language processing tasks.
Sentence Extraction-Based Machine Reading Comprehension for Vietnamese
We propose a conversion algorithm to create the dataset for sentence extraction-based machine reading comprehension and three types of approaches for sentence extraction-based machine reading comprehension in Vietnamese.
Gender Prediction Based on Vietnamese Names with Machine Learning Techniques
We propose a new dataset for gender prediction based on Vietnamese names.
A Vietnamese Dataset for Evaluating Machine Reading Comprehension
Due to the lack of benchmark datasets for Vietnamese, we present the Vietnamese Question Answering Dataset (UIT-ViQuAD), a new dataset for the low-resource language as Vietnamese to evaluate MRC models.
An Experimental Study of Deep Neural Network Models for Vietnamese Multiple-Choice Reading Comprehension
In this paper, we conduct several experiments on neural network-based model to understand the impact of word representation to the Vietnamese multiple-choice machine reading comprehension.
New Vietnamese Corpus for Machine Reading Comprehension of Health News Articles
In particular, we develop a process of creating a corpus for the Vietnamese machine reading comprehension.
Enhancing lexical-based approach with external knowledge for Vietnamese multiple-choice machine reading comprehension
Although Vietnamese is the 17th most popular native-speaker language in the world, there are not many research studies on Vietnamese machine reading comprehension (MRC), the task of understanding a text and answering questions about it.
Job Prediction: From Deep Neural Network Models to Applications
In addition, we also proposed a simple and effective ensemble model combining different deep neural network models.
Hate Speech Detection on Vietnamese Social Media Text using the Bi-GRU-LSTM-CNN Model
In recent years, Hate Speech Detection has become one of the interesting fields in natural language processing or computational linguistics.
Hate Speech Detection
Vietnamese Social Media Text Processing
Hate Speech Detection on Vietnamese Social Media Text using the Bidirectional-LSTM Model
In this paper, we describe our system which participates in the shared task of Hate Speech Detection on Social Networks of VLSP 2019 evaluation campaign.
