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will not be close if they've got no semantic similarity. The embeddings are equipment-generated depending on the phrase or token neighbours in texts, not by a human meta-explanation of what a term indicates. So „king“ might be both near „throne“ and „checkmate“ according to both of these contexts in English texts. This skill can make A