Nathaniel Berger

Correct Me If You Can: Learning from Error Corrections and Markings

2020 · arXiv (Cornell University)

Sequence-to-sequence learning involves a trade-off between signal strength and annotation cost of training data. For example, machine translation data range from costly expert-generated translations that enable supervised learning, to weak quality-judgment feedback that facilitate reinforcement …