Made Nindyatama Nityasya
2021
BERT Goes Brrr: A Venture Towards the Lesser Error in Classifying Medical Self-Reporters on Twitter
Alham Fikri Aji
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Made Nindyatama Nityasya
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Haryo Akbarianto Wibowo
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Radityo Eko Prasojo
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Tirana Fatyanosa
Proceedings of the Sixth Social Media Mining for Health (#SMM4H) Workshop and Shared Task
This paper describes our team’s submission for the Social Media Mining for Health (SMM4H) 2021 shared task. We participated in three subtasks: Classifying adverse drug effect, COVID-19 self-report, and COVID-19 symptoms. Our system is based on BERT model pre-trained on the domain-specific text. In addition, we perform data cleaning and augmentation, as well as hyperparameter optimization and model ensemble to further boost the BERT performance. We achieved the first rank in both classifying adverse drug effects and COVID-19 self-report tasks.
IndoCollex: A Testbed for Morphological Transformation of Indonesian Colloquial Words
Haryo Akbarianto Wibowo
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Made Nindyatama Nityasya
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Afra Feyza Akyürek
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Suci Fitriany
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Alham Fikri Aji
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Radityo Eko Prasojo
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Derry Tanti Wijaya
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
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