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Found 10 papers, 2 papers with code
ViHateT5: Enhancing Hate Speech Detection in Vietnamese With A Unified Text-to-Text Transformer Model
Recent advancements in hate speech detection (HSD) in Vietnamese have made significant progress, primarily attributed to the emergence of transformer-based pre-trained language models, particularly those built on the BERT architecture.
Gendec: A Machine Learning-based Framework for Gender Detection from Japanese Names
Every human has their own name, a fundamental aspect of their identity and cultural heritage.
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.
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.
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
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.
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
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.
