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Computer Science > Machine Learning

arXiv:2109.12777 (cs)
[Submitted on 27 Sep 2021]

Title:ReINTEL Challenge 2020: A Comparative Study of Hybrid Deep Neural Network for Reliable Intelligence Identification on Vietnamese SNSs

Authors:Hoang Viet Trinh, Tung Tien Bui, Tam Minh Nguyen, Huy Quang Dao, Quang Huu Pham, Ngoc N. Tran, Ta Minh Thanh
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Abstract:The overwhelming abundance of data has created a misinformation crisis. Unverified sensationalism that is designed to grab the readers' short attention span, when crafted with malice, has caused irreparable damage to our society's structure. As a result, determining the reliability of an article has become a crucial task. After various ablation studies, we propose a multi-input model that can effectively leverage both tabular metadata and post content for the task. Applying state-of-the-art finetuning techniques for the pretrained component and training strategies for our complete model, we have achieved a 0.9462 ROC-score on the VLSP private test set.
Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL)
Cite as: arXiv:2109.12777 [cs.LG]
  (or arXiv:2109.12777v1 [cs.LG] for this version)
  https://doi.org/10.48550/arXiv.2109.12777
Journal reference: Proceedings of the 7th International Workshop on Vietnamese Language and Speech Processing (VLSP), Hanoi, Vietnam, 2020, pp. 6-12

Submission history

From: Ngoc Tran [view email]
[v1] Mon, 27 Sep 2021 03:40:28 UTC (95 KB)
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