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usually are not close if they have got no semantic similarity. The embeddings are equipment-produced based on the word or token neighbours in texts, not by a human meta-clarification of what a term implies. So „king“ may be each near „throne“ and „checkmate“ based on these two contexts in English texts. Neural networks may be used to r