What are the benefits of contextual embedding?

What are the benefits of contextual embedding in natural language processing?

Contextual embedding improves understanding of word meanings based on context, enhancing NLP tasks like sentiment analysis.

Can you give me an example of how it works?

Sure! In the sentence 'The bank can refuse to lend money,' 'bank' refers to a financial institution, while in 'I sat by the river bank,' it refers to the land alongside a river.

How does it compare to traditional word embeddings?

Unlike traditional embeddings that assign a fixed vector to a word, contextual embeddings generate different vectors based on surrounding words, capturing nuances.

What are some applications of contextual embeddings?

They are used in various applications like chatbots, search engines, and translation services to improve accuracy and relevance.