117 citations · 587 across the 36 of their papers we have counts for
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3 papers · 1 filter
cs.IR2017★ 2 cited
Neural Ranking Models with Multiple Document Fields
Hamed Zamani, Bhaskar Mitra, Xia Song +2
Deep neural networks have recently shown promise in the ad-hoc retrieval task. However, such models have often been based on one field of the document, for example considering docu…
cs.IR2017★ 85 cited
Neural Models for Information Retrieval
Bhaskar Mitra, Nick Craswell
Neural ranking models for information retrieval (IR) use shallow or deep neural networks to rank search results in response to a query. Traditional learning to rank models employ m…
cs.IR2017★ 2 cited
Luandri: a Clean Lua Interface to the Indri Search Engine
Bhaskar Mitra, Fernando Diaz, Nick Craswell
In recent years, the information retrieval (IR) community has witnessed the first successful applications of deep neural network models to short-text matching and ad-hoc retrieval.…