Towards Data Science, Deep Learning, Machine Learning, Neural Networks, Naturallanguageprocessing.
position of each word in a sentence. Without positional embedding, the model will treat the entire sentence as just a bag full of words without having any sequence or meaning. In detail: 3.1.1 Input embedding — The word ‘dog’ in a sentence can use the embedding space to obtain a vector embedding.