--- date: '2022-11-23T19:56:25' hypothesis-meta: created: '2022-11-23T19:56:25.933796+00:00' document: title: - 2210.07188.pdf flagged: false group: __world__ hidden: false id: 6ayOcmtoEe2a2efc7jjUHQ links: html: https://hypothes.is/a/6ayOcmtoEe2a2efc7jjUHQ incontext: https://hyp.is/6ayOcmtoEe2a2efc7jjUHQ/arxiv.org/pdf/2210.07188.pdf json: https://hypothes.is/api/annotations/6ayOcmtoEe2a2efc7jjUHQ permissions: admin: - acct:ravenscroftj@hypothes.is delete: - acct:ravenscroftj@hypothes.is read: - group:__world__ update: - acct:ravenscroftj@hypothes.is tags: - coreference - data-annotation - NLProc target: - selector: - end: 13153 start: 12521 type: TextPositionSelector - exact: "Annotation structure: Two annotation ap-proaches are prominent in the\ \ literature: (1) a localpairwise approach, annotators are shown a pairof\ \ mentions and asked whether they refer to thesame entity (Hladk\xE1 et al.,\ \ 2009; Chamberlain et al.,2016a; Li et al., 2020; Ravenscroft et al., 2021),which\ \ is time-consuming; or (2) a cluster-basedapproach (Reiter, 2018; Oberle,\ \ 2018; Bornsteinet al., 2020), in which annotators group all men-tions of\ \ the same entity into a single cluster. InezCoref we use the latter approach,\ \ which can befaster but requires the UI to support more complexactions for\ \ creating and editing cluster structures." prefix: n detection and AMT Integration. suffix: 'User interface: We spent two yea' type: TextQuoteSelector source: https://arxiv.org/pdf/2210.07188.pdf text: ezCoref presents clusters of coreferences all at the same time - this is a nice efficient way to do annotation versus pairwise annotation (like we did for CD^2CR) updated: '2022-11-23T19:56:25.933796+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 - data-annotation - NLProc - hypothesis type: annotation url: /annotation/2022/11/23/1669233385 ---
Annotation structure: Two annotation ap-proaches are prominent in the literature: (1) a localpairwise approach, annotators are shown a pairof mentions and asked whether they refer to thesame entity (Hladká et al., 2009; Chamberlain et al.,2016a; Li et al., 2020; Ravenscroft et al., 2021),which is time-consuming; or (2) a cluster-basedapproach (Reiter, 2018; Oberle, 2018; Bornsteinet al., 2020), in which annotators group all men-tions of the same entity into a single cluster. InezCoref we use the latter approach, which can befaster but requires the UI to support more complexactions for creating and editing cluster structures.ezCoref presents clusters of coreferences all at the same time - this is a nice efficient way to do annotation versus pairwise annotation (like we did for CD^2CR)