Open intent detection, a crucial aspect of natural language understandin...
We propose extrinsic and intrinsic deep neural network architectures as
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The invention of transformer-based models such as BERT, GPT, and RoBERTa...
In this work, we propose to train a graph neural network via resampling ...
In this work, we propose to employ information-geometric tools to optimi...
The success of deep neural networks (DNN) in machine perception applicat...
A novel logographic subword model is proposed to reinterpret logograms a...