Data Science, Machine Learning, NLP, Word Embeddings, AI.
that words like “cat” and “tiger” are indeed similar, we want some way to pass that information on to the model. This becomes especially important if one of the words is rare (e.g. “liger”), since it can piggy-back on the computation path that a similar, more common word takes through the model.