34 citations · 67 across the 3 of their papers we have counts for
3 papers
cs.IR2019★ 21 cited
Incorporating Query Term Independence Assumption for Efficient Retrieval and Ranking using Deep Neural Networks
Bhaskar Mitra, Corby Rosset, David Hawking +3
Classical information retrieval (IR) methods, such as query likelihood and BM25, score documents independently w.r.t. each query term, and then accumulate the scores. Assuming quer…
cs.IR2019★ 34 cited
An Updated Duet Model for Passage Re-ranking
Bhaskar Mitra, Nick Craswell
We propose several small modifications to Duet---a deep neural ranking model---and evaluate the updated model on the MS MARCO passage ranking task. We report significant improvemen…
cs.IR2016★ 12 cited
Learning to Match Using Local and Distributed Representations of Text for Web Search
Bhaskar Mitra, Fernando Diaz, Nick Craswell
Models such as latent semantic analysis and those based on neural embeddings learn distributed representations of text, and match the query against the document in the latent seman…