Flair is a contextualized word embedding model that uses a combination of character-level and word-level embeddings. It uses a forward and backward LSTM to generate embeddings that capture both the meaning and context of the word.
Flair is a contextualized word embedding model that uses a combination of character-level and word-level embeddings. It uses a forward and backward LSTM to generate embeddings that capture both the meaning and context of the word.