The implementation of DeBERTaV3-based commonsense question answering on CommonsenseQA.
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Updated
May 1, 2022 - Python
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commonsenseqa
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The project trains google T5 on ANLG and COS-E datasets and use these pretrained models to generates explanations for ReColr contexts which along with the context and question are passed to ALBERT for prediction.
art
pytorch
albert
t5
abductive-commonsense-reasoning
commonsense-question-answering
recolr
cos-e
commonsenseqa
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Updated
Nov 10, 2020 - Python
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