What is adversarial training in NLP?

What is adversarial training in NLP?

Adversarial training in NLP involves training models using adversarial examples to improve their robustness against attacks.

Can you give me an example of an adversarial example?

Sure! An adversarial example might involve changing a word in a sentence to mislead the model, like changing 'good' to 'bad' in a sentiment analysis task.

How does this improve the model's performance?

It helps the model learn to recognize and handle unexpected inputs, making it more reliable in real-world applications.

Are there any downsides to adversarial training?

Yes, it can be computationally expensive and may lead to overfitting if not done carefully.