Search Results for author:
Found 5 papers, 5 papers with code
Multimodal Fusion with BERT and Attention Mechanism for Fake News Detection
Fake news detection is an important task for increasing the credibility of information on the media since fake news is constantly spreading on social media every day and it is a very serious concern in our society.
An Empirical Study of Using Pre-trained BERT Models for Vietnamese Relation Extraction Task at VLSP 2020
In this paper, we present an empirical study of using pre-trained BERT models for the relation extraction task at the VLSP 2020 Evaluation Campaign.
ReINTEL Challenge 2020: A Multimodal Ensemble Model for Detecting Unreliable Information on Vietnamese SNS
We propose a novel multimodal ensemble model which combines two multimodal models to solve the task.
A Feature-Based Model for Nested Named-Entity Recognition at VLSP-2018 NER Evaluation Campaign
In this report, we describe our participant named-entity recognition system at VLSP 2018 evaluation campaign.
A Feature-Rich Vietnamese Named-Entity Recognition Model
We also explore the effects of word segmentation, PoS tagging, and chunking results of many popular Vietnamese NLP toolkits on the accuracy of the proposed feature-based NER model.
