11 citations · 14 across the 2 of their papers we have counts for
3 papers
cs.IR2024★ 3 cited
RLStop: A Reinforcement Learning Stopping Method for TAR
Reem Bin-Hezam, Mark Stevenson
We present RLStop, a novel Technology Assisted Review (TAR) stopping rule based on reinforcement learning that helps minimise the number of documents that need to be manually revie…
cs.IR2023
Combining Counting Processes and Classification Improves a Stopping Rule for Technology Assisted Review
Reem Bin-Hezam, Mark Stevenson
Technology Assisted Review (TAR) stopping rules aim to reduce the cost of manually assessing documents for relevance by minimising the number of documents that need to be examined…
cs.IR2023★ 11 cited
Stopping Methods for Technology Assisted Reviews based on Point Processes
Mark Stevenson, Reem Bin-Hezam
Technology Assisted Review (TAR), which aims to reduce the effort required to screen collections of documents for relevance, is used to develop systematic reviews of medical eviden…