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