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Found 19 papers, 13 papers with code
VLSP 2023 -- LTER: A Summary of the Challenge on Legal Textual Entailment Recognition
In this new era of rapid AI development, especially in language processing, the demand for AI in the legal domain is increasingly critical.
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.
A Text-based Approach For Link Prediction on Wikipedia Articles
This paper present our work in the DSAA 2023 Challenge about Link Prediction for Wikipedia Articles.
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.
Integrating Image Features with Convolutional Sequence-to-sequence Network for Multilingual Visual Question Answering
Visual Question Answering (VQA) is a task that requires computers to give correct answers for the input questions based on the images.
Improving Sentiment Analysis By Emotion Lexicon Approach on Vietnamese Texts
Finding out the words that represent the emotion from the text can improve the performance of the classification models for the sentiment analysis task.
UIT-ViCoV19QA: A Dataset for COVID-19 Community-based Question Answering on Vietnamese Language
For the last two years, from 2020 to 2021, COVID-19 has broken disease prevention measures in many countries, including Vietnam, and negatively impacted various aspects of human life and the social community.
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.
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.
Predicting Job Titles from Job Descriptions with Multi-label Text Classification
Finding a suitable job and hunting for eligible candidates are important to job seeking and human resource agencies.
Multi-Label Classification
Multi Label Text Classification
+2
Automatically Detecting Cyberbullying Comments on Online Game Forums
Online game forums are popular to most of game players.
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.
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
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.
BANANA at WNUT-2020 Task 2: Identifying COVID-19 Information on Twitter by Combining Deep Learning and Transfer Learning Models
The outbreak COVID-19 virus caused a significant impact on the health of people all over the world.
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.
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.
