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Found 51 papers, 16 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.
ComOM at VLSP 2023: A Dual-Stage Framework with BERTology and Unified Multi-Task Instruction Tuning Model for Vietnamese Comparative Opinion Mining
The ComOM shared task aims to extract comparative opinions from product reviews in Vietnamese language.
Abusive Span Detection for Vietnamese Narrative Texts
Abuse in its various forms, including physical, psychological, verbal, sexual, financial, and cultural, has a negative impact on mental health.
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
Is word segmentation necessary for Vietnamese sentiment classification?
To the best of our knowledge, this paper made the first attempt to answer whether word segmentation is necessary for Vietnamese sentiment classification.
Leveraging Semantic Representations Combined with Contextual Word Representations for Recognizing Textual Entailment in Vietnamese
The experimental results give conclusions about the influence and role of semantic representation on Vietnamese in understanding natural language.
Natural Language Inference
Natural Language Understanding
+2
Integrating Semantic Information into Sketchy Reading Module of Retro-Reader for Vietnamese Machine Reading Comprehension
The classification of answerability questions is a relatively significant sub-task in machine reading comprehension; however, there haven't been many studies.
Machine Reading Comprehension
Vietnamese Machine Reading Comprehension
+1
A Comparative Study of Question Answering over Knowledge Bases
In that, we study various question types, properties, languages, and domains to provide insights on where existing systems struggle.
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.
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 Labeling Approach for Vietnamese and Chinese Word Segmentation
In this paper, we propose a span labeling approach to model n-gram information for Vietnamese word segmentation, namely SPAN SEG.
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.
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-ISE-NLP at SemEval-2021 Task 5: Toxic Spans Detection with BiLSTM-CRF and ToxicBERT Comment Classification
We present our works on SemEval-2021 Task 5 about Toxic Spans Detection.
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
Investigating Monolingual and Multilingual BERTModels for Vietnamese Aspect Category Detection
In this paper, we investigate the performance of various monolingual pre-trained language models compared with multilingual models on the Vietnamese aspect category detection problem.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+1
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.
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.
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 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.
Error Analysis for Vietnamese Dependency Parsing
Dependency parsing is needed in different applications of natural language processing.
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.
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
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.
