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20182022
most citedExpansion via Prediction of Importance with Contextualization

72 citations · 164 across the 10 of their papers we have counts for

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cs.IR2022

CODEC: Complex Document and Entity Collection

Iain Mackie, Paul Owoicho, Carlos Gemmell +3

CODEC is a document and entity ranking benchmark that focuses on complex research topics. We target essay-style information needs of social science researchers, i.e. "How has the U…

cs.IR20229 cited

On Survivorship Bias in MS MARCO

Prashansa Gupta, Sean MacAvaney

Survivorship bias is the tendency to concentrate on the positive outcomes of a selection process and overlook the results that generate negative outcomes. We observe that this bias…

cs.IR2022

Reproducing Personalised Session Search over the AOL Query Log

Sean MacAvaney, Craig Macdonald, Iadh Ounis

Despite its troubled past, the AOL Query Log continues to be an important resource to the research community -- particularly for tasks like search personalisation. When using the q…

cs.IR20213 cited

IntenT5: Search Result Diversification using Causal Language Models

Sean MacAvaney, Craig Macdonald, Roderick Murray-Smith +1

Search result diversification is a beneficial approach to overcome under-specified queries, such as those that are ambiguous or multi-faceted. Existing approaches often rely on mas…

cs.IR2021

Simplified Data Wrangling with ir_datasets

Sean MacAvaney, Andrew Yates, Sergey Feldman +3

Managing the data for Information Retrieval (IR) experiments can be challenging. Dataset documentation is scattered across the Internet and once one obtains a copy of the data, the…

cs.IR202059 cited

Efficient Document Re-Ranking for Transformers by Precomputing Term Representations

Sean MacAvaney, Franco Maria Nardini, Raffaele Perego +3

Deep pretrained transformer networks are effective at various ranking tasks, such as question answering and ad-hoc document ranking. However, their computational expenses deem them…