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    <abstract>This paper presents our submission to Task 2 of the Workshop on Noisy User-generated Text. We explore improving the performance of a pre-trained transformer-based language model fine-tuned for text classification through an ensemble implementation that makes use of corpus level information and a handcrafted feature. We test the effectiveness of including the aforementioned features in accommodating the challenges of a noisy data set centred on a specific subject outside the remit of the pre-training data. We show that inclusion of additional features can improve classification results and achieve a score within 2 points of the top performing team.</abstract>
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%0 Conference Proceedings
%T CXP949 at WNUT-2020 Task 2: Extracting Informative COVID-19 Tweets - RoBERTa Ensembles and The Continued Relevance of Handcrafted Features
%A Perrio, Calum
%A Tayyar Madabushi, Harish
%Y Xu, Wei
%Y Ritter, Alan
%Y Baldwin, Tim
%Y Rahimi, Afshin
%S Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020)
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F perrio-tayyar-madabushi-2020-cxp949
%X This paper presents our submission to Task 2 of the Workshop on Noisy User-generated Text. We explore improving the performance of a pre-trained transformer-based language model fine-tuned for text classification through an ensemble implementation that makes use of corpus level information and a handcrafted feature. We test the effectiveness of including the aforementioned features in accommodating the challenges of a noisy data set centred on a specific subject outside the remit of the pre-training data. We show that inclusion of additional features can improve classification results and achieve a score within 2 points of the top performing team.
%R 10.18653/v1/2020.wnut-1.48
%U https://aclanthology.org/2020.wnut-1.48
%U https://doi.org/10.18653/v1/2020.wnut-1.48
%P 352-358

Markdown (Informal)

[CXP949 at WNUT-2020 Task 2: Extracting Informative COVID-19 Tweets - RoBERTa Ensembles and The Continued Relevance of Handcrafted Features](https://aclanthology.org/2020.wnut-1.48) (Perrio & Tayyar Madabushi, WNUT 2020)

• CXP949 at WNUT-2020 Task 2: Extracting Informative COVID-19 Tweets - RoBERTa Ensembles and The Continued Relevance of Handcrafted Features (Perrio & Tayyar Madabushi, WNUT 2020)

ACL

• Calum Perrio and Harish Tayyar Madabushi. 2020. CXP949 at WNUT-2020 Task 2: Extracting Informative COVID-19 Tweets - RoBERTa Ensembles and The Continued Relevance of Handcrafted Features. In Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020), pages 352–358, Online. Association for Computational Linguistics.