mlsanityData to 14 Oct 2026

NLPBK at VLSP-2020 shared task: Compose transformer pretrained models for Reliable Intelligence Identification on Social network

arXiv 2101.12672 ↗First posted 29 Jan 2021cs.CL cs.IRcited by 4

Not on the map. Why?

Abstract (arXiv)

This paper describes our method for tuning a transformer-based pretrained model, to adaptation with Reliable Intelligence Identification on Vietnamese SNSs problem. We also proposed a model that combines bert-base pretrained models with some metadata features, such as the number of comments, number of likes, images of SNS documents,... to improved results for VLSP shared task: Reliable Intelligence Identification on Vietnamese SNSs. With appropriate training techniques, our model is able to achieve 0.9392 ROC-AUC on public test set and the final version settles at top 2 ROC-AUC (0.9513) on private test set.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 12 of its 17 references that are in the map. First posted on arXiv 29 Jan 2021.

Builds on

12 of 17 references.

References · 12

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
  3. 2019Cross-lingual Language Model Pretrainingcited by 1,090
  4. 2019Text Summarization with Pretrained Encoderscited by 556
  5. 2019How to Fine-Tune BERT for Text Classification?cited by 411
  6. 2017Fake News Detection on Social Media: A Data Mining Perspectivecited by 336
  7. 2019Simple BERT Models for Relation Extraction and Semantic Role Labelingcited by 154
  8. 2020PhoBERT: Pre-trained language models for Vietnamesecited by 149
  9. 2017CSI: A Hybrid Deep Model for Fake News Detectioncited by 102
  10. 2020Retrospective Reader for Machine Reading Comprehensioncited by 86
  11. 2019Leveraging BERT for Extractive Text Summarization on Lecturescited by 63
  12. 2020ReINTEL: A Multimodal Data Challenge for Responsible Information Identification on Social Network Sitescited by 4

Built on by

Cited by year

Citing papers per year: 2022: 1; 2023: 1; 2024: 1; 2025: 1.

4 papers.