What are some techniques for incorporating context in NLP?

What are some techniques for incorporating context in NLP?

There are several techniques to incorporate context in NLP, such as using context windows, attention mechanisms, and embeddings.

Can you explain how attention mechanisms work?

Attention mechanisms allow models to focus on specific parts of the input sequence, enhancing the understanding of context.

What are context windows?

Context windows refer to the segments of text that models consider when processing language, helping to maintain contextual relevance.

How do embeddings help in understanding context?

Embeddings represent words in a continuous vector space, capturing semantic relationships and contextual meanings.

Are there any specific models that utilize these techniques?

Yes, models like BERT and GPT use attention mechanisms and embeddings to effectively incorporate context in their processing.