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Extracting financial Key Performance Indicators from annual reports is one of many manual tasks in the banking sector. This can be automated with Machine Learning techniques such as Question Answering, Named Entity Recognition, Entity Relation, Text-to-Sql, or Retrieval Augmented Generation. In this thesis, different models performances are evaluated when extracting KPIs from annual reports, both
