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

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arxiv 2101.12672 v1 pith:DRVMRIBJ submitted 2021-01-29 cs.CL cs.IR

classification cs.CLcs.IR
keywords identificationintelligencemodelpretrainedreliablemodelsnumberroc-auc
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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  1. A Vietnamese Dataset for Text Segmentation and Multiple Choices Reading Comprehension

    cs.CL 2025-06 conditional novelty 6.0 of 10

    A new Vietnamese dataset for text segmentation and multiple-choice reading comprehension, with benchmarks showing multilingual BERT models lead on both tasks.

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