Reham Osama


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2019

pdf bib
Question Answering Using Hierarchical Attention on Top of BERT Features
Reham Osama | Nagwa El-Makky | Marwan Torki
Proceedings of the 2nd Workshop on Machine Reading for Question Answering

The model submitted works as follows. When supplied a question and a passage it makes use of the BERT embedding along with the hierarchical attention model which consists of 2 parts, the co-attention and the self-attention, to locate a continuous span of the passage that is the answer to the question.