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