43 citations · 91 across the 20 of their papers we have counts for
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cs.CL2019★ 6 cited
Fine-Grained Entity Typing for Domain Independent Entity Linking
Yasumasa Onoe, Greg Durrett
Neural entity linking models are very powerful, but run the risk of overfitting to the domain they are trained in. For this problem, a domain is characterized not just by genre of…
cs.CL2019★ 4 cited
Learning to Denoise Distantly-Labeled Data for Entity Typing
Yasumasa Onoe, Greg Durrett
Distantly-labeled data can be used to scale up training of statistical models, but it is typically noisy and that noise can vary with the distant labeling technique. In this work,…