 Accordingly, we propose to decouple word vectors into their norm and direction then computing the alignment-based similarity using earth mover's distance (  optimal transport cost), which we refer to as word rotator's distance.
<clarity>  Accordingly, we propose to decouple word vectors into their norm and direction then computing the alignment-based similarity using earth mover's distance (  optimal transport cost), which we refer to as word rotator's distance.
 Accordingly, we propose a method that first decouples word vectors into their norm and direction then computing the alignment-based similarity using earth mover's distance ( optimal transport cost), which we refer to as word rotator's distance.