What are the benefits of contextual embeddings in NLP?
An example of an AI chatbot conversation about the advantages of contextual embeddings in natural language processing.
What are the benefits of contextual embeddings in NLP?
Contextual embeddings capture the meaning of words based on their context, improving understanding in NLP tasks.
Can you give me an example of how they improve performance?
Sure! In sentiment analysis, contextual embeddings help differentiate between 'bank' as a financial institution and 'bank' as the side of a river.
Are there specific models that use contextual embeddings?
Yes, models like BERT and ELMo utilize contextual embeddings to enhance their language understanding capabilities.
What are the limitations of using contextual embeddings?
Some limitations include increased computational costs and the need for large datasets to train effectively.
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