12 citations · 12 across the 1 of their papers we have counts for
2 papers
cs.CL2019
Multi-Task Networks With Universe, Group, and Task Feature Learning
Shiva Pentyala, Mengwen Liu, Markus Dreyer
We present methods for multi-task learning that take advantage of natural groupings of related tasks. Task groups may be defined along known properties of the tasks, such as task d…
cs.CL2017★ 12 cited
Transfer Learning for Neural Semantic Parsing
Xing Fan, Emilio Monti, Lambert Mathias +1
The goal of semantic parsing is to map natural language to a machine interpretable meaning representation language (MRL). One of the constraints that limits full exploration of dee…