--- 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: annotation url: /annotation/2022/11/23/1669232890 ---
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
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.