From 69902979237e7f9a79878ae6fb45e80e894cd079 Mon Sep 17 00:00:00 2001 From: ravenscroftj Date: Wed, 23 Nov 2022 20:00:17 +0000 Subject: [PATCH] Add 'brainsteam/content/replies/2022/11/23/1669232890.md' --- .../content/replies/2022/11/23/1669232890.md | 64 +++++++++++++++++++ 1 file changed, 64 insertions(+) create mode 100644 brainsteam/content/replies/2022/11/23/1669232890.md diff --git a/brainsteam/content/replies/2022/11/23/1669232890.md b/brainsteam/content/replies/2022/11/23/1669232890.md new file mode 100644 index 0000000..bc4f494 --- /dev/null +++ b/brainsteam/content/replies/2022/11/23/1669232890.md @@ -0,0 +1,64 @@ +--- +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: reply +url: /replies/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. \ No newline at end of file