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Browse files- dev_small.json +95 -95
dev_small.json
CHANGED
@@ -43,7 +43,7 @@
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|
43 |
"start_char": 64,
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"end_char": 79,
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"mention_text": "Washington Post",
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46 |
-
"gold_cluster": 10000000214,
|
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"lemma": "Washington",
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"sentence_tokens": [
|
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"gupta",
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@@ -75,7 +75,7 @@
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"start_char": 168,
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"end_char": 175,
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"mention_text": "sources",
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"gold_cluster": 10000000215,
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"lemma": "source",
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"sentence_tokens": [
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"dr.",
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@@ -175,7 +175,7 @@
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"start_char": 135,
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176 |
"end_char": 141,
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"mention_text": "family",
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"gold_cluster": 10000000216,
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"lemma": "family",
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"sentence_tokens": [
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"gupta",
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@@ -241,7 +241,7 @@
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"start_char": 142,
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242 |
"end_char": 154,
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"mention_text": "from Atlanta",
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244 |
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"gold_cluster": 10000000217,
|
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"lemma": "Atlanta",
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"sentence_tokens": [
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"gupta",
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@@ -273,7 +273,7 @@
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|
273 |
"start_char": 155,
|
274 |
"end_char": 168,
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275 |
"mention_text": "to Washington",
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276 |
-
"gold_cluster": 10000000218,
|
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"lemma": "Washington",
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278 |
"sentence_tokens": [
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"gupta",
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@@ -371,7 +371,7 @@
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|
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"start_char": 97,
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"end_char": 108,
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"mention_text": "working out",
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"gold_cluster": 10000000219,
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"lemma": "work",
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"sentence_tokens": [
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"gupta",
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@@ -655,7 +655,7 @@
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"start_char": 4,
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656 |
"end_char": 10,
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657 |
"mention_text": "Doctor",
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658 |
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"gold_cluster": 10000000220,
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"lemma": "Doctor",
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"sentence_tokens": [
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"doctor",
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@@ -977,7 +977,7 @@
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"start_char": 201,
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"end_char": 207,
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"mention_text": "public",
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"lemma": "public",
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"sentence_tokens": [
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"choose",
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@@ -1157,7 +1157,7 @@
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"start_char": 125,
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"end_char": 140,
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"mention_text": "C. Everett Koop",
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"gold_cluster": 10000000222,
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"lemma": "Everett",
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1162 |
"sentence_tokens": [
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"choose",
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@@ -1193,7 +1193,7 @@
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"start_char": 139,
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"end_char": 147,
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"mention_text": "subjects",
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"gold_cluster": 10000000223,
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"lemma": "subject",
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"sentence_tokens": [
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"cnn",
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@@ -1373,7 +1373,7 @@
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"start_char": 148,
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"end_char": 157,
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"mention_text": "involving",
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"gold_cluster": 10000000224,
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"lemma": "involve",
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"sentence_tokens": [
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"cnn",
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@@ -1409,7 +1409,7 @@
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"start_char": 10,
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"end_char": 17,
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"mention_text": "learned",
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"gold_cluster": 10000000225,
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"lemma": "learn",
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"sentence_tokens": [
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"cnn",
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@@ -1481,7 +1481,7 @@
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"start_char": 95,
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"end_char": 108,
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1483 |
"mention_text": "reaching back",
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"gold_cluster": 10000000226,
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"lemma": "reach",
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"sentence_tokens": [
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"choose",
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@@ -1517,7 +1517,7 @@
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"start_char": 182,
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"end_char": 192,
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"mention_text": "advocating",
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"gold_cluster": 10000000227,
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1521 |
"lemma": "advocate",
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"sentence_tokens": [
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"choose",
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@@ -1553,7 +1553,7 @@
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"start_char": 149,
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1554 |
"end_char": 165,
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1555 |
"mention_text": "straight-talking",
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1556 |
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"gold_cluster": 10000000228,
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"lemma": "straight-talke",
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"sentence_tokens": [
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"choose",
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@@ -1589,7 +1589,7 @@
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"start_char": 64,
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"end_char": 73,
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"mention_text": "made sure",
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"gold_cluster": 10000000229,
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1593 |
"lemma": "make",
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"sentence_tokens": [
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"cnn",
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@@ -1697,7 +1697,7 @@
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"start_char": 111,
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"end_char": 122,
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"mention_text": "health-care",
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"gold_cluster": 10000000230,
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"lemma": "health-care",
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1702 |
"sentence_tokens": [
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"cnn",
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@@ -1733,7 +1733,7 @@
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"start_char": 123,
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"end_char": 129,
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1735 |
"mention_text": "policy",
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"gold_cluster": 10000000231,
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"lemma": "policy",
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1738 |
"sentence_tokens": [
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"cnn",
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@@ -1769,7 +1769,7 @@
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"start_char": 116,
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"end_char": 119,
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"mention_text": "era",
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"gold_cluster": 10000000232,
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"lemma": "era",
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"sentence_tokens": [
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"choose",
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@@ -1805,7 +1805,7 @@
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"start_char": 211,
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"end_char": 217,
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"mention_text": "health",
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"gold_cluster": 10000000233,
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"lemma": "health",
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"sentence_tokens": [
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"choose",
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@@ -1841,7 +1841,7 @@
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"start_char": 103,
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1842 |
"end_char": 110,
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"mention_text": "touched",
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1844 |
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"gold_cluster": 10000000234,
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"lemma": "touch",
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1846 |
"sentence_tokens": [
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"cnn",
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@@ -2109,7 +2109,7 @@
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"start_char": 4,
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"end_char": 14,
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2111 |
"mention_text": "Celebrates",
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"gold_cluster": 10000000287,
|
2113 |
"lemma": "Celebrates",
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2114 |
"sentence_tokens": [
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2115 |
"ama",
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@@ -2134,7 +2134,7 @@
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"start_char": 36,
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2135 |
"end_char": 45,
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"mention_text": "delighted",
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"gold_cluster": 10000000288,
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"lemma": "delighted",
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"sentence_tokens": [
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"american",
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@@ -2271,7 +2271,7 @@
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"start_char": 137,
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"end_char": 140,
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"mention_text": "his",
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"gold_cluster": 10000000289,
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"lemma": "his",
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"sentence_tokens": [
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"cnn",
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@@ -2379,7 +2379,7 @@
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"start_char": 28,
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"end_char": 37,
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"mention_text": "yesterday",
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"gold_cluster": 10000000290,
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"lemma": "yesterday",
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2384 |
"sentence_tokens": [
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"cnn",
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@@ -2647,7 +2647,7 @@
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"start_char": 190,
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"end_char": 197,
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"mention_text": "matters",
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"gold_cluster": 10000000291,
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"lemma": "matter",
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"sentence_tokens": [
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"cnn",
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@@ -2688,7 +2688,7 @@
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"start_char": 242,
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"end_char": 251,
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"mention_text": "involving",
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"gold_cluster": 10000000292,
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"lemma": "involve",
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"sentence_tokens": [
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"cnn",
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@@ -2770,7 +2770,7 @@
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"start_char": 37,
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"end_char": 45,
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"mention_text": "learning",
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"gold_cluster": 10000000293,
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"lemma": "learning",
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"sentence_tokens": [
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"cnn",
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@@ -2811,7 +2811,7 @@
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"start_char": 234,
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"end_char": 241,
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"mention_text": "matters",
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"gold_cluster": 10000000294,
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"lemma": "matter",
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"sentence_tokens": [
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"cnn",
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@@ -2852,7 +2852,7 @@
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"start_char": 127,
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"end_char": 136,
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"mention_text": "made sure",
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"gold_cluster": 10000000295,
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"lemma": "make",
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"sentence_tokens": [
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"cnn",
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@@ -3001,7 +3001,7 @@
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"start_char": 209,
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"end_char": 219,
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"mention_text": "healthcare",
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"gold_cluster": 10000000296,
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"lemma": "healthcare",
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"sentence_tokens": [
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"cnn",
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@@ -3042,7 +3042,7 @@
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"start_char": 220,
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"end_char": 226,
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"mention_text": "policy",
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"lemma": "policy",
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"sentence_tokens": [
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"cnn",
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@@ -3083,7 +3083,7 @@
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"start_char": 181,
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"end_char": 189,
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"mention_text": "wellness",
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"gold_cluster": 10000000298,
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"lemma": "wellness",
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"sentence_tokens": [
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"cnn",
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@@ -3382,7 +3382,7 @@
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"start_char": 27,
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"end_char": 34,
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"mention_text": "believe",
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"lemma": "believe",
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"police",
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@@ -3576,7 +3576,7 @@
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"start_char": 102,
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"end_char": 107,
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"mention_text": "level",
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"gold_cluster": 10000000864,
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"lemma": "level",
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"man",
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@@ -3609,7 +3609,7 @@
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"start_char": 148,
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"end_char": 153,
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"mention_text": "limit",
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"gold_cluster": 10000000865,
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"lemma": "limit",
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"sentence_tokens": [
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"man",
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@@ -4892,7 +4892,7 @@
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"start_char": 30,
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"end_char": 34,
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"mention_text": "name",
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"gold_cluster": 10000000869,
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"lemma": "name",
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"sentence_tokens": [
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"authority",
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@@ -5042,7 +5042,7 @@
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"start_char": 89,
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"end_char": 91,
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"mention_text": "DA",
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"gold_cluster": 10000000881,
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"lemma": "DA",
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"sentence_tokens": [
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"grandmother",
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@@ -5411,7 +5411,7 @@
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"start_char": 23,
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"end_char": 42,
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"mention_text": "in South Ozone Park",
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"gold_cluster": 10000000882,
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"lemma": "South",
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"sentence_tokens": [
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"raj",
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@@ -5509,7 +5509,7 @@
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"mention_text": "19 , 2013",
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"lemma": "2013",
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"grandmother",
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@@ -5687,7 +5687,7 @@
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|
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"mention_text": "lived",
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"lemma": "live",
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"raj",
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@@ -5994,7 +5994,7 @@
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"mention_text": "SAYSSEPTEMBER",
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"lemma": "SAYSSEPTEMBER",
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"grandmother",
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@@ -6205,7 +6205,7 @@
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"end_char": 88,
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"mention_text": "disappointing",
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"lemma": "disappointing",
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"sentence_tokens": [
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"philadelphia",
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@@ -6687,7 +6687,7 @@
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"start_char": 96,
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"end_char": 102,
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"mention_text": "a year",
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"lemma": "year",
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"maurice",
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@@ -6745,7 +6745,7 @@
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"start_char": 120,
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"end_char": 128,
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"mention_text": "playoffs",
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"lemma": "playoff",
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"maurice",
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@@ -7148,7 +7148,7 @@
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"mention_text": "nearly three weeks following the end of their season",
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"gold_cluster": 10000000932,
|
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"lemma": "follow",
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"surprising",
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@@ -7354,7 +7354,7 @@
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"mention_text": "history",
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"lemma": "history",
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"surprising",
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@@ -7391,7 +7391,7 @@
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"end_char": 34,
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"mention_text": "running show",
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|
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"lemma": "run",
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"maurice",
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@@ -7568,7 +7568,7 @@
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"start_char": 106,
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"end_char": 113,
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"mention_text": "signals",
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"gold_cluster": 10000001317,
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"lemma": "signal",
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"sentence_tokens": [
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"indian",
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@@ -7728,7 +7728,7 @@
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"start_char": 60,
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"end_char": 68,
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"mention_text": "attacked",
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"lemma": "attack",
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"indian",
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@@ -7761,7 +7761,7 @@
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"start_char": 96,
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"end_char": 105,
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"mention_text": "receiving",
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"lemma": "receive",
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"indian",
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@@ -7888,7 +7888,7 @@
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"mention_text": "fight",
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|
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"lemma": "fight",
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"sentence_tokens": [
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"take",
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@@ -7916,7 +7916,7 @@
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"start_char": 0,
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"end_char": 15,
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"mention_text": "Taking the lead",
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|
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"lemma": "take",
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"sentence_tokens": [
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"take",
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@@ -8089,7 +8089,7 @@
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"start_char": 130,
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"mention_text": "helicopter",
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"gold_cluster": 10000001322,
|
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"lemma": "helicopter",
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"sentence_tokens": [
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"indian",
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@@ -8128,7 +8128,7 @@
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"start_char": 220,
|
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"end_char": 225,
|
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"mention_text": "Yemen",
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"gold_cluster": 10000001323,
|
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"lemma": "Yemen",
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"sentence_tokens": [
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"indian",
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@@ -8206,7 +8206,7 @@
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|
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"end_char": 188,
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"mention_text": "freighter",
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"gold_cluster": 10000001324,
|
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"lemma": "freighter",
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"sentence_tokens": [
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"indian",
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@@ -8245,7 +8245,7 @@
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"end_char": 215,
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"mention_text": "speedboats",
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"gold_cluster": 10000001325,
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"lemma": "speedboat",
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"sentence_tokens": [
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"indian",
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@@ -8323,7 +8323,7 @@
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"end_char": 149,
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"mention_text": "thwarted",
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