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Found 61 papers, 25 papers with code
ViNLI: A Vietnamese Corpus for Studies on Open-Domain Natural Language Inference
In this paper, we introduce ViNLI (Vietnamese Natural Language Inference), an open-domain and high-quality corpus for evaluating Vietnamese NLI models, which is created and evaluated with a strict process of quality control.
ViTextVQA: A Large-Scale Visual Question Answering Dataset for Evaluating Vietnamese Text Comprehension in Images
Visual Question Answering (VQA) is a complicated task that requires the capability of simultaneously processing natural language and images.
Multimodal Deep Learning
Optical Character Recognition (OCR)
+5
VLUE: A New Benchmark and Multi-task Knowledge Transfer Learning for Vietnamese Natural Language Understanding
The success of Natural Language Understanding (NLU) benchmarks in various languages, such as GLUE for English, CLUE for Chinese, KLUE for Korean, and IndoNLU for Indonesian, has facilitated the evaluation of new NLU models across a wide range of tasks.
VlogQA: Task, Dataset, and Baseline Models for Vietnamese Spoken-Based Machine Reading Comprehension
This paper presents the development process of a Vietnamese spoken language corpus for machine reading comprehension (MRC) tasks and provides insights into the challenges and opportunities associated with using real-world data for machine reading comprehension tasks.
ViLexNorm: A Lexical Normalization Corpus for Vietnamese Social Media Text
In this work, we introduce Vietnamese Lexical Normalization (ViLexNorm), the first-ever corpus developed for the Vietnamese lexical normalization task.
Lexical Normalization
Vietnamese Social Media Text Processing
Automatic Textual Normalization for Hate Speech Detection
Our dataset is accessible for research purposes.
ViCLEVR: A Visual Reasoning Dataset and Hybrid Multimodal Fusion Model for Visual Question Answering in Vietnamese
Neural models for VQA have made remarkable progress on large-scale datasets, with a primary focus on resource-rich languages like English.
ViSoBERT: A Pre-Trained Language Model for Vietnamese Social Media Text Processing
English and Chinese, known as resource-rich languages, have witnessed the strong development of transformer-based language models for natural language processing tasks.
Vietnamese Language Models
Vietnamese Social Media Text Processing
+1
XGV-BERT: Leveraging Contextualized Language Model and Graph Neural Network for Efficient Software Vulnerability Detection
Hence, in this work, we propose XGV-BERT, a framework that combines the pre-trained CodeBERT model and Graph Neural Network (GCN) to detect software vulnerabilities.
ViCGCN: Graph Convolutional Network with Contextualized Language Models for Social Media Mining in Vietnamese
Our proposed ViCGCN approach demonstrates a significant improvement of up to 6. 21%, 4. 61%, and 2. 63% over the best Contextualized Language Models, including multilingual and monolingual, on three benchmark datasets, UIT-VSMEC, UIT-ViCTSD, and UIT-VSFC, respectively.
Link Prediction for Wikipedia Articles as a Natural Language Inference Task
Drawing inspiration from recent advancements in natural language processing and understanding, we cast link prediction as an NLI task, wherein the presence of a link between two articles is treated as a premise, and the task is to determine whether this premise holds based on the information presented in the articles.
BARTPhoBEiT: Pre-trained Sequence-to-Sequence and Image Transformers Models for Vietnamese Visual Question Answering
Visual Question Answering (VQA) is an intricate and demanding task that integrates natural language processing (NLP) and computer vision (CV), capturing the interest of researchers.
PAT: Parallel Attention Transformer for Visual Question Answering in Vietnamese
Based on these two novel modules, we introduce the Parallel Attention Transformer (PAT), achieving the best accuracy compared to all baselines on the benchmark ViVQA dataset and other SOTA methods including SAAA and MCAN.
OpenViVQA: Task, Dataset, and Multimodal Fusion Models for Visual Question Answering in Vietnamese
The VQA task requires methods that have the ability to fuse the information from questions and images to produce appropriate answers.
A Multiple Choices Reading Comprehension Corpus for Vietnamese Language Education
From the results of the error analysis, we found the challenge of the reading comprehension models is understanding the implicit context in texts and linking them together in order to find the correct answers.
Revealing Weaknesses of Vietnamese Language Models Through Unanswerable Questions in Machine Reading Comprehension
From the analysis results, we suggest new directions for developing Vietnamese language models.
EVJVQA Challenge: Multilingual Visual Question Answering
Visual Question Answering (VQA) is a challenging task of natural language processing (NLP) and computer vision (CV), attracting significant attention from researchers.
ViHOS: Hate Speech Spans Detection for Vietnamese
The rise in hateful and offensive language directed at other users is one of the adverse side effects of the increased use of social networking platforms.
Ranked #1 on
Sequence-to-sequence Language Modeling
on ViHOS
UIT-HWDB: Using Transferring Method to Construct A Novel Benchmark for Evaluating Unconstrained Handwriting Image Recognition in Vietnamese
Recognizing handwriting images is challenging due to the vast variation in writing style across many people and distinct linguistic aspects of writing languages.
SMTCE: A Social Media Text Classification Evaluation Benchmark and BERTology Models for Vietnamese
Inspired by the success of the GLUE, we introduce the Social Media Text Classification Evaluation (SMTCE) benchmark, as a collection of datasets and models across a diverse set of SMTC tasks.
SPBERTQA: A Two-Stage Question Answering System Based on Sentence Transformers for Medical Texts
Question answering (QA) systems have gained explosive attention in recent years.
Vietnamese Hate and Offensive Detection using PhoBERT-CNN and Social Media Streaming Data
Secondly, a novel hate speech detection (HSD) model, which is the combination of a pre-trained PhoBERT model and a Text-CNN model, was proposed for solving tasks in Vietnamese.
Hate Speech Detection
Vietnamese Social Media Text Processing
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.
VLSP 2021 - ViMRC Challenge: Vietnamese Machine Reading Comprehension
To address the weakness, we provide the research community with a benchmark dataset named UIT-ViQuAD 2. 0 for evaluating the MRC task and question answering systems for the Vietnamese language.
Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-stage Span Labeling
Previous studies on joint Chinese word segmentation and part-of-speech tagging mainly follow the character-based tagging model focusing on modeling n-gram features.
Span Detection for Aspect-Based Sentiment Analysis in Vietnamese
Aspect-based sentiment analysis plays an essential role in natural language processing and artificial intelligence.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+4
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.
VinaFood21: A Novel Dataset for Evaluating Vietnamese Food Recognition
We use 10, 044 images for model training and 6, 682 test images to classify each food in the VinaFood21 dataset and achieved an average accuracy of 74. 81% when fine-tuning CNN EfficientNet-B0.
Machine Learning-Based Empirical Investigation for Credit Scoring in Vietnam’s Banking
We conduct experiments with modern machine learning methods based on ensemble learning models: LightGBM, CatBoost, and Random Forest.
SA2SL: From Aspect-Based Sentiment Analysis to Social Listening System for Business Intelligence
In this paper, we present a process of building a social listening system based on aspect-based sentiment analysis in Vietnamese from creating a dataset to building a real application.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+5
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.
Conversational Machine Reading Comprehension for Vietnamese Healthcare Texts
To help machines understand conversation texts, we present UIT-ViCoQA, a new corpus for conversational machine reading comprehension in the Vietnamese language.
Vietnamese Complaint Detection on E-Commerce Websites
Customer product reviews play a role in improving the quality of products and services for business organizations or their brands.
Complaint Comment Classification
Constructive Comment Classification
+2
UIT-E10dot3 at SemEval-2021 Task 5: Toxic Spans Detection with Named Entity Recognition and Question-Answering Approaches
The increment of toxic comments on online space is causing tremendous effects on other vulnerable users.
A Large-scale Dataset for Hate Speech Detection on Vietnamese Social Media Texts
On social medias, hate speech has become a critical problem for social network users.
Hate Speech Detection
Vietnamese Social Media Text Processing
Constructive and Toxic Speech Detection for Open-domain Social Media Comments in Vietnamese
For these tasks, we propose a system for constructive and toxic speech detection with the state-of-the-art transfer learning model in Vietnamese NLP as PhoBERT.
Constructive Comment Classification
General Classification
+2
Augmenting Part-of-speech Tagging with Syntactic Information for Vietnamese and Chinese
In this paper, we implement this idea to improve word segmentation and part of speech tagging the Vietnamese language by employing a simplified constituency parser.
ReINTEL Challenge 2020: Exploiting Transfer Learning Models for Reliable Intelligence Identification on Vietnamese Social Network Sites
This paper presents the system that we propose for the Reliable Intelligence Indentification on Vietnamese Social Network Sites (ReINTEL) task of the Vietnamese Language and Speech Processing 2020 (VLSP 2020) Shared Task.
Gender Prediction Based on Vietnamese Names with Machine Learning Techniques
We propose a new dataset for gender prediction based on Vietnamese names.
An Empirical Study for Vietnamese Constituency Parsing with Pre-training
In this work, we use a span-based approach for Vietnamese constituency parsing.
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.
A Simple and Efficient Ensemble Classifier Combining Multiple Neural Network Models on Social Media Datasets in Vietnamese
There are various studies in this field in many languages but limited to the Vietnamese language.
Empirical Study of Text Augmentation on Social Media Text in Vietnamese
Thus, when collecting the data about user comments on the social network, the data is usually skewed about one label, which leads the dataset to become imbalanced and deteriorate the model's ability.
Exploiting Vietnamese Social Media Characteristics for Textual Emotion Recognition in Vietnamese
Textual emotion recognition has been a promising research topic in recent years.
UIT-HSE at WNUT-2020 Task 2: Exploiting CT-BERT for Identifying COVID-19 Information on the Twitter Social Network
Recently, COVID-19 has affected a variety of real-life aspects of the world and led to dreadful consequences.
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.
Vietnamese Word Segmentation with SVM: Ambiguity Reduction and Suffix Capture
In this paper, we approach Vietnamese word segmentation as a binary classification by using the Support Vector Machine classifier.
UIT-ViIC: A Dataset for the First Evaluation on Vietnamese Image Captioning
This paper contributes to research on Image Captioning task in terms of extending dataset to a different language - Vietnamese.
Comparison Between Traditional Machine Learning Models And Neural Network Models For Vietnamese Hate Speech Detection
Consequently, we compare traditional machine learning and deep learning on a large dataset about the user's comments on social network in Vietnamese and find out what is the advantage and disadvantage of each model by comparing their accuracy on F1-score, then we pick two models in which has highest accuracy in traditional machine learning models and deep neural models respectively.
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.
Emotion Recognition for Vietnamese Social Media Text
In this task, the result is not produced in terms of either polarity: positive or negative or in the form of rating (from 1 to 5) but of a more detailed level of analysis in which the results are depicted in more expressions like sadness, enjoyment, anger, disgust, fear, and surprise.
Error Analysis for Vietnamese Named Entity Recognition on Deep Neural Network Models
In recent years, Vietnamese Named Entity Recognition (NER) systems have had a great breakthrough when using Deep Neural Network methods.
Deep Learning versus Traditional Classifiers on Vietnamese Students' Feedback Corpus
Student's feedback is an important source of collecting students' opinions to improve the quality of training activities.
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
Error Analysis for Vietnamese Dependency Parsing
Dependency parsing is needed in different applications of natural language 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.
Vietnamese transition-based dependency parsing with supertag features
In recent years, dependency parsing is a fascinating research topic and has a lot of applications in natural language processing.
LSTM Easy-first Dependency Parsing with Pre-trained Word Embeddings and Character-level Word Embeddings in Vietnamese
In Vietnamese dependency parsing, several methods have been proposed.
