Word embeddings are a cornerstone of Natural Language Processing (NLP), providing a mathematical representation of words that captures their semantic relationships. Traditional word embeddings, however, often rely on high-dimensional vectors, demanding significant computational resources. WordTour, a novel approach presented at NAACL 2022, introduces a groundbreaking solution: one-dimensional word embeddings. This innovative technique promises a more […]