Transformer Models for Question Answering at BioASQ 2019

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Abstract

We describe our experiments in building a system to tackle task B of the BioASQ 2019 challenge on semantic question answering. We built separate systems to handle the five different types of questions in the dataset. We explored using transformer-based models using both ELMo, BERT and BioBERT. For the yesno questions, the results of our submissions using BERT ranked first in batches 3 and 4, while second best in batch 5.

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Resta, M., Arioli, D., Fagnani, A., & Attardi, G. (2020). Transformer Models for Question Answering at BioASQ 2019. In Communications in Computer and Information Science (Vol. 1168 CCIS, pp. 711–726). Springer. https://doi.org/10.1007/978-3-030-43887-6_63

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