arXiv · 2303.10527
Two Kinds of Recall
Abstract
It is an established assumption that pattern-based models are good at precision, while learning based models are better at recall. But is that really the case? I argue that there are two kinds of recall: d-recall, reflecting diversity, and e-recall, reflecting exhaustiveness. I demonstrate through experiments that while neural methods are indeed significantly better at d-recall, it is sometimes the case that pattern-based methods are still substantially better at e-recall. Ideal methods should aim for both kinds, and this ideal should in turn be reflected in our evaluations.
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Yoav Goldberg. 2023-03-19. Two Kinds of Recall. https://arxiv.org/abs/2303.10527
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