Update annotations for Iman/paper_11.txt

annotations/Iman/paper_11.txt.json

@@ -1,12 +1,4 @@
 [
-  {
-    "file": "paper_11.txt",
-    "start": 1960,
-    "end": 2457,
-    "label": "Coherence",
-    "user": "Iman",
-    "text": " Can a highperformance CLIR model be trained that can operate without having to rely on MT? To answer the question, instead of viewing the MT-based approach as a competing one, we propose to leverage its strength via knowledge distillation (KD) into an end-to-end CLIR model. KD (Hinton et al., 2014) is a powerful supervision technique typically used to distill the knowledge of a large teacher model about some task into a smaller student model (Mukherjee and Awadallah, 2020;Turc et al., 2020)."
-  },
   {
     "file": "paper_11.txt",
     "start": 1025,