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Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models.
Daniel Cohen
Bhaskar Mitra
Oleg Lesota
Navid Rekabsaz
Carsten Eickhoff
Published in:
CoRR (2021)
Keyphrases
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retrieval model
retrieval effectiveness
test collection
language model
document retrieval
relevance scores
information retrieval
query terms
information retrieval systems
vector space model
relevance feedback
text mining
text retrieval
average precision
active learning
vector space