NLPBK at VLSP-2020 shared task: Compose transformer pretrained models for Reliable Intelligence Identification on Social network
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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
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Built on by
Citing papers per year: 2022: 1; 2023: 1; 2024: 1; 2025: 1.
4 papers.
- 2023ViMMRC 2.0 -- Enhancing Machine Reading Comprehension on Vietnamese Literature Textcited by 5
- 2022Detecting Spam Reviews on Vietnamese E-commerce Websitescited by 4
- 2024Metadata Integration for Spam Reviews Detection on Vietnamese E-commerce Websitescited by 1
- 2025A Vietnamese Dataset for Text Segmentation and Multiple Choices Reading Comprehensioncited by 0
- 2025A Vietnamese Dataset for Text Segmentation and Multiple Choices Reading Comprehension19 Jun 2025
- 2024Metadata Integration for Spam Reviews Detection on Vietnamese E-commerce Websites22 May 2024
- 2023ViMMRC 2.0 -- Enhancing Machine Reading Comprehension on Vietnamese Literature Text31 Mar 2023
- 2022Detecting Spam Reviews on Vietnamese E-commerce Websites27 Jul 2022