Add 'brainsteam/content/replies/2022/11/23/1669233385.md'

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+---
+date: '2022-11-23T19:56:25'
+hypothesis-meta:
+  created: '2022-11-23T19:56:25.933796+00:00'
+  document:
+    title:
+    - 2210.07188.pdf
+  flagged: false
+  group: __world__
+  hidden: false
+  id: 6ayOcmtoEe2a2efc7jjUHQ
+  links:
+    html: https://hypothes.is/a/6ayOcmtoEe2a2efc7jjUHQ
+    incontext: https://hyp.is/6ayOcmtoEe2a2efc7jjUHQ/arxiv.org/pdf/2210.07188.pdf
+    json: https://hypothes.is/api/annotations/6ayOcmtoEe2a2efc7jjUHQ
+  permissions:
+    admin:
+    - acct:ravenscroftj@hypothes.is
+    delete:
+    - acct:ravenscroftj@hypothes.is
+    read:
+    - group:__world__
+    update:
+    - acct:ravenscroftj@hypothes.is
+  tags:
+  - coreference
+  - data-annotation
+  - NLProc
+  target:
+  - selector:
+    - end: 13153
+      start: 12521
+      type: TextPositionSelector
+    - exact: "Annotation structure: Two annotation ap-proaches are prominent in the\
+        \ literature: (1) a localpairwise approach, annotators are shown a pairof\
+        \ mentions and asked whether they refer to thesame entity (Hladk\xE1 et al.,\
+        \ 2009; Chamberlain et al.,2016a; Li et al., 2020; Ravenscroft et al., 2021),which\
+        \ is time-consuming; or (2) a cluster-basedapproach (Reiter, 2018; Oberle,\
+        \ 2018; Bornsteinet al., 2020), in which annotators group all men-tions of\
+        \ the same entity into a single cluster. InezCoref we use the latter approach,\
+        \ which can befaster but requires the UI to support more complexactions for\
+        \ creating and editing cluster structures."
+      prefix: n detection and AMT Integration.
+      suffix: 'User interface: We spent two yea'
+      type: TextQuoteSelector
+    source: https://arxiv.org/pdf/2210.07188.pdf
+  text: ezCoref presents clusters of coreferences all at the same time - this is a
+    nice efficient way to do annotation versus pairwise annotation (like we did for
+    CD^2CR)
+  updated: '2022-11-23T19:56:25.933796+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
+- data-annotation
+- NLProc
+- hypothesis
+type: reply
+url: /replies/2022/11/23/1669233385
+
+---
+
+
+
+ <blockquote>Annotation structure: Two annotation ap-proaches are prominent in the literature: (1) a localpairwise approach, annotators are shown a pairof mentions and asked whether they refer to thesame entity (Hladká et al., 2009; Chamberlain et al.,2016a; Li et al., 2020; Ravenscroft et al., 2021),which is time-consuming; or (2) a cluster-basedapproach (Reiter, 2018; Oberle, 2018; Bornsteinet al., 2020), in which annotators group all men-tions of the same entity into a single cluster. InezCoref we use the latter approach, which can befaster but requires the UI to support more complexactions for creating and editing cluster structures.</blockquote>ezCoref presents clusters of coreferences all at the same time - this is a nice efficient way to do annotation versus pairwise annotation (like we did for CD^2CR)