Automatic postediting (APE) is an automated process to refine a given ma...
Semi-supervised learning that leverages synthetic training data has been...
Zero-shot slot filling has received considerable attention to cope with ...
We propose two methods to capture relevant history information in a
mult...
Recent approaches to the Automatic Post-Editing (APE) research have show...
To capture salient contextual information for spoken language understand...
Using a sequence-to-sequence framework, many neural conversation models ...
Most of neural approaches to relation classification have focused on fin...
Term frequency normalization is a serious issue since lengths of documen...