41 citations · 100 across the 12 of their papers we have counts for
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cs.LG2017
Robust Task Clustering for Deep Many-Task Learning
Mo Yu, Xiaoxiao Guo, Jinfeng Yi +5
We investigate task clustering for deep-learning based multi-task and few-shot learning in a many-task setting. We propose a new method to measure task similarities with cross-task…
cs.CL2017★ 41 cited
Neural Models for Sequence Chunking
Feifei Zhai, Saloni Potdar, Bing Xiang +1
Many natural language understanding (NLU) tasks, such as shallow parsing (i.e., text chunking) and semantic slot filling, require the assignment of representative labels to the mea…