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

2.5 KiB

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
reply /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.