Text Embedding Augmentation Based on Retraining With Pseudo-Labeled Adversarial Embedding

Pre-trained language models (LMs) have been shown to achieve outstanding performance in various natural language processing tasks; however, these models have a significantly large number of parameters to handle large-scale text corpora during the pre-training process, and thus, they entail the risk...

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Podrobná bibliografie

Hlavní autoři:	Myeongsup Kim, Pilsung Kang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2022-01-01
Edice:	IEEE Access
Témata:	Text embedding augmentation adversarial training pseudo-label generating retraining
On-line přístup:	https://ieeexplore.ieee.org/document/9680703/
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