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+---
+date: '2022-11-23T20:18:21'
+hypothesis-meta:
+  created: '2022-11-23T20:18:21.503899+00:00'
+  document:
+    title:
+    - 2210.07188.pdf
+  flagged: false
+  group: __world__
+  hidden: false
+  id: -dKc5GtrEe2QDyN0zg00rw
+  links:
+    html: https://hypothes.is/a/-dKc5GtrEe2QDyN0zg00rw
+    incontext: https://hyp.is/-dKc5GtrEe2QDyN0zg00rw/arxiv.org/pdf/2210.07188.pdf
+    json: https://hypothes.is/api/annotations/-dKc5GtrEe2QDyN0zg00rw
+  permissions:
+    admin:
+    - acct:ravenscroftj@hypothes.is
+    delete:
+    - acct:ravenscroftj@hypothes.is
+    read:
+    - group:__world__
+    update:
+    - acct:ravenscroftj@hypothes.is
+  tags:
+  - data-annotation
+  - coreference
+  - NLProc
+  target:
+  - selector:
+    - end: 28783
+      start: 28631
+      type: TextPositionSelector
+    - exact: 'Our annotators achieve thehighest precision with OntoNotes, suggesting
+        thatmost of the entities identified by crowdworkers arecorrect for this dataset. '
+      prefix: 'ntoNotes, GUM, Lit-Bank, ARRAU: '
+      suffix: In terms of F1 scores, thedatase
+      type: TextQuoteSelector
+    source: https://arxiv.org/pdf/2210.07188.pdf
+  text: interesting that the mention detection algorithm gives poor precision on OntoNotes
+    and the annotators get high precision. Does this imply that there are a lot of
+    invalid mentions in this data and the guidelines for ontonotes are correct to
+    ignore generic pronouns without pronominals?
+  updated: '2022-11-23T20:18:21.503899+00:00'
+  uri: https://arxiv.org/pdf/2210.07188.pdf
+  user: acct:ravenscroftj@hypothes.is
+  user_info:
+    display_name: James Ravenscroft
+in-reply-to: https://arxiv.org/pdf/2210.07188.pdf
+tags:
+- data-annotation
+- coreference
+- NLProc
+- hypothesis
+type: reply
+url: /replies/2022/11/23/1669234701
+
+---
+
+
+
+ <blockquote>Our annotators achieve thehighest precision with OntoNotes, suggesting thatmost of the entities identified by crowdworkers arecorrect for this dataset. </blockquote>interesting that the mention detection algorithm gives poor precision on OntoNotes and the annotators get high precision. Does this imply that there are a lot of invalid mentions in this data and the guidelines for ontonotes are correct to ignore generic pronouns without pronominals?
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