GRLStop is a reinforcement learning stopping rule for Technology Assisted Review whose reward function lets one model serve multiple target recall levels and user-selected recall/cost tradeoffs, and it improves or matches baselines on six TAR datasets.
ACM Computing Surveys 55(7), 1–38 (2022)
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A Generalised and Adaptable Reinforcement Learning Stopping Method
GRLStop is a reinforcement learning stopping rule for Technology Assisted Review whose reward function lets one model serve multiple target recall levels and user-selected recall/cost tradeoffs, and it improves or matches baselines on six TAR datasets.