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IITD-DBAI: Multi-Stage Retrieval with Pseudo-Relevance Feedback and Query Reformulation
March 31, 2022 Β· Declared Dead Β· π Text Retrieval Conference
"No code URL or promise found in abstract"
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Authors
Shivani Choudhary
arXiv ID
2203.17042
Category
cs.IR: Information Retrieval
Cross-listed
cs.AI,
cs.CY
Citations
2
Venue
Text Retrieval Conference
Last Checked
4 months ago
Abstract
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.
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