Papers by Christian Igel
MultiFin: A Dataset for Multilingual Financial NLP (2023.findings-eacl)
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| Challenge: | Multilingual models are needed to process financial text, which is produced across the world and requires a large dataset. |
| Approach: | They propose to annotate a publicly available financial dataset using a hierarchical label structure and an annotation schema based on a real-world application. |
| Outcome: | The proposed model can be used in high-resource languages, but there is room for improvement in low-resourced languages. |