brainsteam.co.uk/brainsteam/content/replies/2022/11/23/1669234701.md

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---
date: '2022-11-23T20:18:21'
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created: '2022-11-23T20:18:21.503899+00:00'
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- 2210.07188.pdf
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- coreference
- NLProc
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- exact: 'Our annotators achieve thehighest precision with OntoNotes, suggesting
thatmost of the entities identified by crowdworkers arecorrect for this dataset. '
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source: https://arxiv.org/pdf/2210.07188.pdf
text: interesting that the mention detection algorithm gives poor precision on OntoNotes
and the annotators get high precision. Does this imply that there are a lot of
invalid mentions in this data and the guidelines for ontonotes are correct to
ignore generic pronouns without pronominals?
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display_name: James Ravenscroft
in-reply-to: https://arxiv.org/pdf/2210.07188.pdf
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type: reply
url: /replies/2022/11/23/1669234701
---
<blockquote>Our annotators achieve thehighest precision with OntoNotes, suggesting thatmost of the entities identified by crowdworkers arecorrect for this dataset. </blockquote>interesting that the mention detection algorithm gives poor precision on OntoNotes and the annotators get high precision. Does this imply that there are a lot of invalid mentions in this data and the guidelines for ontonotes are correct to ignore generic pronouns without pronominals?