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About End To End Binarized Neural Networks For Text Classification
This paper proposes an end-to-end binarized neural network for text classification and intent classification. The network binarizes both the input representations and classifier. It embeds token counts into binary high-dimensional vectors and trains a binary neural network classifier. Evaluation on several datasets shows the binarized network achieves comparable accuracy to state-of-the-art methods while using less memory and training time.
Detailed Information
| Author: | ['HARSHILJAIN3'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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