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Found 2 papers, 1 papers with code
Toward Adversarial Training on Contextualized Language Representation
Based on the observation, we propose simple yet effective \textit{Contextualized representation-Adversarial Training} (CreAT), in which the attack is explicitly optimized to deviate the contextualized representation of the encoder.
Few-shot Incremental Event Detection
In practice, however, the lack of high-quality labeled data of new event classes makes it difficult to obtain enough data for model training.
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