brainsteam.co.uk/brainsteam/content/annotations/2022/11/23/1669232890.md

date	hypothesis-meta	in-reply-to	tags	type	url
2022-11-23T19:48:10	created document flagged group hidden id links permissions tags target text updated uri user user_info 2022-11-23T19:48:10.551681+00:00 title 2210.07188.pdf false __world__ false wmnTPmtnEe2grmOa8_XKwA html incontext json https://hypothes.is/a/wmnTPmtnEe2grmOa8_XKwA https://hyp.is/wmnTPmtnEe2grmOa8_XKwA/arxiv.org/pdf/2210.07188.pdf https://hypothes.is/api/annotations/wmnTPmtnEe2grmOa8_XKwA admin delete read update acct:ravenscroftj@hypothes.is acct:ravenscroftj@hypothes.is group:__world__ acct:ravenscroftj@hypothes.is coreference NLProc data-annotation selector source end start type 1153 772 TextPositionSelector exact prefix suffix type 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 rs with vari-ous backgrounds. In .1Surprisingly, we find that rea TextQuoteSelector https://arxiv.org/pdf/2210.07188.pdf 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. 2022-11-23T19:48:10.551681+00:00 https://arxiv.org/pdf/2210.07188.pdf acct:ravenscroftj@hypothes.is display_name James Ravenscroft	https://arxiv.org/pdf/2210.07188.pdf	coreference NLProc data-annotation hypothesis	annotation	/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.