Add 'brainsteam/content/replies/2022/11/23/1669232890.md'

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+---
+date: '2022-11-23T19:48:10'
+hypothesis-meta:
+  created: '2022-11-23T19:48:10.551681+00:00'
+  document:
+    title:
+    - 2210.07188.pdf
+  flagged: false
+  group: __world__
+  hidden: false
+  id: wmnTPmtnEe2grmOa8_XKwA
+  links:
+    html: https://hypothes.is/a/wmnTPmtnEe2grmOa8_XKwA
+    incontext: https://hyp.is/wmnTPmtnEe2grmOa8_XKwA/arxiv.org/pdf/2210.07188.pdf
+    json: https://hypothes.is/api/annotations/wmnTPmtnEe2grmOa8_XKwA
+  permissions:
+    admin:
+    - acct:ravenscroftj@hypothes.is
+    delete:
+    - acct:ravenscroftj@hypothes.is
+    read:
+    - group:__world__
+    update:
+    - acct:ravenscroftj@hypothes.is
+  tags:
+  - coreference
+  - NLProc
+  - data-annotation
+  target:
+  - selector:
+    - end: 1153
+      start: 772
+      type: TextPositionSelector
+    - exact: ' this work, we developa crowdsourcing-friendly coreference annota-tion
+        methodology, ezCoref, consisting of anannotation tool and an interactive tutorial.
+        Weuse ezCoref to re-annotate 240 passages fromseven existing English coreference
+        datasets(spanning fiction, news, and multiple other do-mains) while teaching
+        annotators only casesthat are treated similarly across these datasets'
+      prefix: rs with vari-ous backgrounds. In
+      suffix: .1Surprisingly, we find that rea
+      type: TextQuoteSelector
+    source: https://arxiv.org/pdf/2210.07188.pdf
+  text: this paper describes a new efficient coreference annotation tool which simplifies
+    co-reference annotation. They use their tool to re-annotate passages from widely
+    used coreference datasets.
+  updated: '2022-11-23T19:48:10.551681+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:
+- coreference
+- NLProc
+- data-annotation
+- hypothesis
+type: reply
+url: /replies/2022/11/23/1669232890
+
+---
+
+
+
+ <blockquote> this work, we developa crowdsourcing-friendly coreference annota-tion methodology, ezCoref, consisting of anannotation tool and an interactive tutorial. Weuse ezCoref to re-annotate 240 passages fromseven existing English coreference datasets(spanning fiction, news, and multiple other do-mains) while teaching annotators only casesthat are treated similarly across these datasets</blockquote>this paper describes a new efficient coreference annotation tool which simplifies co-reference annotation. They use their tool to re-annotate passages from widely used coreference datasets.