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Found 2 papers, 2 papers with code
FETILDA: An Effective Framework For Fin-tuned Embeddings For Long Financial Text Documents
It is therefore of great interest to learn predictive models from these long textual documents, especially for forecasting numerical key performance indicators (KPIs).
Efficient Algorithms for Generating Provably Near-Optimal Cluster Descriptors for Explainability
Improving the explainability of the results from machine learning methods has become an important research goal.
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