Papers by Eirini Spyropoulou
FiNER: Financial Numeric Entity Recognition for XBRL Tagging (2022.acl-long)
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Lefteris Loukas, Manos Fergadiotis, Ilias Chalkidis, Eirini Spyropoulou, Prodromos Malakasiotis, Ion Androutsopoulos, Georgios Paliouras
| Challenge: | Publicly traded companies are required to submit periodic reports with eXtensive Business Reporting Language (XBRL) word-level tags. |
| Approach: | They propose to use XBRL tagging as a new entity extraction task for the financial domain and release FiNER-139, a dataset of 1.1M sentences with gold X brl tags. |
| Outcome: | The proposed solution replaces numeric expressions with pseudo-tokens reflecting original token shapes and numeric magnitudes. |