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are certainly not shut if they may have no semantic similarity. The embeddings are machine-generated based upon the phrase or token neighbours in texts, not by a human meta-rationalization of what a word implies. So „king“ may be the two near to „throne“ and „checkmate“ based on these two contexts in English texts. 1x: Robotics Regulat