Update annotations for Ed/paper_22.txt

annotations/Ed/paper_22.txt.json

@@ -38,5 +38,13 @@
     "label": "Format",
     "user": "Ed",
     "text": " (Li et al., 2020;"
+  },
+  {
+    "file": "paper_22.txt",
+    "start": 2408,
+    "end": 2746,
+    "label": "Coherence",
+    "user": "Ed",
+    "text": ". To get the solution efficiently, Cuturi (2013) provides a regularizer inspired by a probabilistic theory and then uses Sinkhorn's algorithm. Kusner et al. (2015) relax the problem to get the quadratic-time solution by removing one of the constraints, and Wu et al. (2018) introduce a kernel method to approximate the optimal transport.\n"
   }
 ]