---
date: '2022-11-23T20:12:31'
hypothesis-meta:
  created: '2022-11-23T20:12:31.341810+00:00'
  document:
    title:
    - 2210.07188.pdf
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  id: KRvuAmtrEe26TOOrc3o_zA
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    json: https://hypothes.is/api/annotations/KRvuAmtrEe26TOOrc3o_zA
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  tags:
  - data-annotation
  - coreference
  - NLProc
  target:
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      start: 26292
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    - exact: 'an algorithm with high precision on LitBank orOntoNotes would miss a
        huge percentage of rele-vant mentions and entities on other datasets (con-straining
        our analysis) '
      prefix: re mentions of differentlengths.
      suffix: and when annotating newtexts and
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    source: https://arxiv.org/pdf/2210.07188.pdf
  text: these datasets have the most limited/constrained definitions for co-reference
    and what should be marked up so it makes sense that precision is poor in these
    datasets
  updated: '2022-11-23T20:12:31.341810+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:
- data-annotation
- coreference
- NLProc
- hypothesis
type: annotation
url: /annotation/2022/11/23/1669234351

---



 <blockquote>an algorithm with high precision on LitBank orOntoNotes would miss a huge percentage of rele-vant mentions and entities on other datasets (con-straining our analysis) </blockquote>these datasets have the most limited/constrained definitions for co-reference and what should be marked up so it makes sense that precision is poor in these datasets