Semi-supervised Learning
Generating high-quality summaries for chat dialogs often requires large labeled datasets. We propose a method to efficiently use …
TK-KNN: A Balanced Distance-Based Pseudo Labeling Approach for Semi-Supervised Intent Classification
The ability to detect intent in dialogue systems has become increasingly important in modern technology.
These systems often generate a …
Recent work has made significant progress in learning object meshes with weak supervision. Soft Rasterization methods have achieved …
We introduce a hierarchical architecture for machine reading capable of extracting precise information from long documents. The model …