12 citations · 18 across the 2 of their papers we have counts for
2 papers
cs.CL2019★ 12 cited
Knowledge Enhanced Contextual Word Representations
Matthew E. Peters, Mark Neumann, Robert L. Logan +4
Contextual word representations, typically trained on unstructured, unlabeled text, do not contain any explicit grounding to real world entities and are often unable to remember fa…
cs.CL2019★ 6 cited
To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks
Matthew E. Peters, Sebastian Ruder, Noah A. Smith
While most previous work has focused on different pretraining objectives and architectures for transfer learning, we ask how to best adapt the pretrained model to a given target ta…