  Resolving the contextual dependency is one of the most challenging tasks in
the Conversational system. Our submission to CAsT-2021 aimed to preserve the
key terms and the context in all subsequent turns and use classical Information
retrieval methods. It was aimed to pull as relevant documents as possible from
the corpus. We have participated in automatic track and submitted two runs in
the CAsT-2021. Our submission has produced a mean NDCG@3 performance better
than the median model.
