Neural Snowball for Few-Shot Relation Learning
Table 1: Experiment results on our few-shot relation learning settings with different size of seed sets. Here P refers to precision, R refers to recall and F1 refers to F1-measure score.
['Model', '5 Seed Instances P', '5 Seed Instances R', '5 Seed Instances F1', '10 Seed Instances P', '10 Seed Instances R', '10 Seed Instances F1', '15 Seed Instances P', '15 Seed Instances R', '15 Seed Instances F1']
We do not evaluate other semi-supervised and few-shot RE models for the reason that they do not suit our few-shot new relation learning settings. (2) While fine-tuning, distant supervision and Neural Snowball improve with the increase of seed numbers, BREDS and RSN have little promotion.