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---
date: '2022-11-23T19:48:10'
hypothesis-meta:
created: '2022-11-23T19:48:10.551681+00:00'
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title:
- 2210.07188.pdf
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tags:
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- NLProc
- data-annotation
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- 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'
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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.
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uri: https://arxiv.org/pdf/2210.07188.pdf
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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.