The conversation between human and AI assistant.
What are some best ways to represent word for morphology tasks using unsupervised machine learning techniques?
That sounds interesting. Can you explain a bit more about how Word2Vec works?
Word2Vec is a popular neural network-based model used for word embedding. It uses a shallow neural network to learn the distributed representation of words by predicting their surrounding words in a given context. The resulting vector representation captures the semantic and syntactic similarity between words.