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Found 3 papers, 2 papers with code
Robustness Testing of Language Understanding in Task-Oriented Dialog
Most language understanding models in task-oriented dialog systems are trained on a small amount of annotated training data, and evaluated in a small set from the same distribution.
A Hierarchical Framework for Relation Extraction with Reinforcement Learning
The whole extraction process is decomposed into a hierarchy of two-level RL policies for relation detection and entity extraction respectively, so that it is more feasible and natural to deal with overlapping relations.
Ranked #2 on
Relation Extraction
on NYT24
Entity Extraction using GAN
Hierarchical Reinforcement Learning
+4
TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning
Learning universal time series representations applicable to various types of downstream tasks is challenging but valuable in real applications.
