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QuesBELM: A BERT based Ensemble Language Model for Natural Questions
In our work, we systematically compare the performance of powerful variant models of Transformer architectures- ’BERTbase, BERT large-WWM and ALBERT-XXL’ over Natural Questions dataset.
A Conglomerate of Multiple OCR Table Detection and Extraction
Information representation as tables are compact and concise method that eases searching, indexing, and storage requirements.
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