understanding relationships at phrase level not just word level and understanding relationships between multiple phrases so another interesting example is how can get all these different skip phrasing bearings so you can see that the closest tokens for skip grammar models are like way better compared to the other models so these are like different models and like me at all is another example of noise contrasting model those strain on words and skip phrase model too McCollum or Oh like like a basically the nearest neighbor to the topmost row