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        <title>Coping with Noisy Training Data Labels in Paraphrase Detection</title>
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        <namePart type="given">Teemu</namePart>
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    <abstract>We present new state-of-the-art benchmarks for paraphrase detection on all six languages in the Opusparcus sentential paraphrase corpus: English, Finnish, French, German, Russian, and Swedish. We reach these baselines by fine-tuning BERT. The best results are achieved on smaller and cleaner subsets of the training sets than was observed in previous research. Additionally, we study a translation-based approach that is competitive for the languages with more limited and noisier training data.</abstract>
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%0 Conference Proceedings
%T Coping with Noisy Training Data Labels in Paraphrase Detection
%A Vahtola, Teemu
%A Creutz, Mathias
%A Sjöblom, Eetu
%A Itkonen, Sami
%Y Xu, Wei
%Y Ritter, Alan
%Y Baldwin, Tim
%Y Rahimi, Afshin
%S Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021)
%D 2021
%8 November
%I Association for Computational Linguistics
%C Online
%F vahtola-etal-2021-coping
%X We present new state-of-the-art benchmarks for paraphrase detection on all six languages in the Opusparcus sentential paraphrase corpus: English, Finnish, French, German, Russian, and Swedish. We reach these baselines by fine-tuning BERT. The best results are achieved on smaller and cleaner subsets of the training sets than was observed in previous research. Additionally, we study a translation-based approach that is competitive for the languages with more limited and noisier training data.
%R 10.18653/v1/2021.wnut-1.32
%U https://aclanthology.org/2021.wnut-1.32
%U https://doi.org/10.18653/v1/2021.wnut-1.32
%P 291-296

Markdown (Informal)

[Coping with Noisy Training Data Labels in Paraphrase Detection](https://aclanthology.org/2021.wnut-1.32) (Vahtola et al., WNUT 2021)

• Coping with Noisy Training Data Labels in Paraphrase Detection (Vahtola et al., WNUT 2021)

ACL

• Teemu Vahtola, Mathias Creutz, Eetu Sjöblom, and Sami Itkonen. 2021. Coping with Noisy Training Data Labels in Paraphrase Detection. In Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021), pages 291–296, Online. Association for Computational Linguistics.