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date hypothesis-meta in-reply-to tags type url
2022-11-23T19:56:25
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2022-11-23T19:56:25.933796+00:00
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2210.07188.pdf
false __world__ false 6ayOcmtoEe2a2efc7jjUHQ
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https://hypothes.is/a/6ayOcmtoEe2a2efc7jjUHQ https://hyp.is/6ayOcmtoEe2a2efc7jjUHQ/arxiv.org/pdf/2210.07188.pdf https://hypothes.is/api/annotations/6ayOcmtoEe2a2efc7jjUHQ
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coreference
data-annotation
NLProc
selector source
end start type
13153 12521 TextPositionSelector
exact prefix suffix type
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. n detection and AMT Integration. User interface: We spent two yea TextQuoteSelector
https://arxiv.org/pdf/2210.07188.pdf
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) 2022-11-23T19:56:25.933796+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
data-annotation
NLProc
hypothesis
annotation /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)