Datasets:

ImanAndrea
/

citation_annotations

@@ -6,5 +6,13 @@
     "label": "Coherence",
     "user": "Iraa",
     "text": "For example, in Figure 1, the representation for Johannes Brahms should be similar to the representation of all questions it can answer, such as \"Who wrote the violin concerto?\" We anticipate that optimizing passage representations for QA should benefit many downstream tasks, as question-answer pairs have been used as broad-coverage meaning representations (He et al., 2015; Michael et al., 2018), and a wide range of NLP tasks can be cast as QA problems (Levy et al., 2017; McCann et al., 2018; Gardner et al., 2019), For instance, our learned representations should encode whether a phrase answers a question like “Why was the movie considered good?”, which corresponds to identifying rationales for sentiment analysis."
   }
 ]

     "label": "Coherence",
     "user": "Iraa",
     "text": "For example, in Figure 1, the representation for Johannes Brahms should be similar to the representation of all questions it can answer, such as \"Who wrote the violin concerto?\" We anticipate that optimizing passage representations for QA should benefit many downstream tasks, as question-answer pairs have been used as broad-coverage meaning representations (He et al., 2015; Michael et al., 2018), and a wide range of NLP tasks can be cast as QA problems (Levy et al., 2017; McCann et al., 2018; Gardner et al., 2019), For instance, our learned representations should encode whether a phrase answers a question like “Why was the movie considered good?”, which corresponds to identifying rationales for sentiment analysis."
+  },
+  {
+    "file": "paper_97.txt",
+    "start": 2030,
+    "end": 2078,
+    "label": "Format",
+    "user": "Iraa",
+    "text": "(Seo et al., 2018, 2019; Lee et al., 2020, 2021)"
   }
 ]