Multi-head self-attentive network [36] has recently achieved remarkable performance in modeling complicated relations. For example, it shows superiority for modeling arbitrary word depen- dency in machine translation [36] and sentence embedding [20], and has been successfully applied to capturing node similarities in graph embedding [37]. Here we extend this latest technique to model the correlations between different feature fields.  Paraphrase:  Write exactly 4 paragraphs each separated with two new lines answering this question. The first paragraph must start with "credit".
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