Datasets:
Modalities:
Text
Sub-tasks:
named-entity-recognition
Languages:
English
Size:
1M - 10M
ArXiv:
License:
Update README.md
Browse files
README.md
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@@ -139,7 +139,7 @@ We used regular expressions to extract the text notes from the Financial Stateme
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All the examples were annotated by professional auditors as required by the Securities & Exchange Commission (SEC) legislation.
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Even though the gold XBRL tags come from professional auditors there are still some discrepancies. [Loukas et al. (2022)](https://arxiv.org/abs/2203.06482), Section 9.4
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#### Who are the annotators?
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All the examples were annotated by professional auditors as required by the Securities & Exchange Commission (SEC) legislation.
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Even though the gold XBRL tags come from professional auditors there are still some discrepancies. Consult [Loukas et al. (2022)](https://arxiv.org/abs/2203.06482), (Section 9.4) for more details
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#### Who are the annotators?
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