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ITNLP2022 at SemEval-2022 Task 8: Pre-trained Model with Data Augmentation and Voting for Multilingual News Similarity

Zhongan Chen, Weiwei Chen, YunLong Sun, Hongqing Xu, Shuzhe Zhou, Bohan Chen, Chengjie Sun, Yuanchao Liu
2022 Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)   unpublished

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This article introduces a system to solve the SemEval 2022 Task 8: Multilingual News Article Similarity. The task focuses on the consistency of events reported in two news articles. The system consists of a pre-trained model(e.g., INFOXLM and XLM-RoBERTa) to extract multilingual news features, following fully-connected networks to measure the similarity. In addition, data augmentation and Ten Folds Voting are used to enhance the model. Our final submitted model is an ensemble of three base
more » ... s, with a Pearson value of 0.784 on the test dataset.
doi:10.18653/v1/2022.semeval-1.167 fatcat:ouqzstisf5dhvhgid3ggdtojxq
Citation

Zhongan Chen, Weiwei Chen, YunLong Sun, Hongqing Xu, Shuzhe Zhou, Bohan Chen, Chengjie Sun, Yuanchao Liu. "ITNLP2022 at SemEval-2022 Task 8: Pre-trained Model with Data Augmentation and Voting for Multilingual News Similarity." Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2022)