human
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: 
gpt
--- Reasoning ---
1. Is the question multiple-choice question?
No
2. Is it implied multiple-choice question?
No
3. If two experts were independently asked the question, will the final answer be exactly the same?
No

--- Answer ---
open