  In this paper, we detail our submission to the 2019, 7th year, BioASQ
competition. We present our approach for Task-7b, Phase B, Exact Answering
Task. These Question Answering (QA) tasks include Factoid, Yes/No, List Type
Question answering. Our system is based on a contextual word embedding model.
We have used a Bidirectional Encoder Representations from Transformers(BERT)
based system, fined tuned for biomedical question answering task using BioBERT.
In the third test batch set, our system achieved the highest MRR score for
Factoid Question Answering task. Also, for List type question answering task
our system achieved the highest recall score in the fourth test batch set.
Along with our detailed approach, we present the results for our submissions,
and also highlight identified downsides for our current approach and ways to
improve them in our future experiments.
