KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports. (arXiv:2208.02140v1 [cs.CL])

We present KPI-BERT, a system which employs novel methods of named entity
recognition (NER) and relation extraction (RE) to extract and link key
performance indicators (KPIs), e.g. "revenue" or "interest expenses", of
companies from real-world German financial documents. Specifically, we
introduce an end-to-end trainable architecture that is based on Bidirectional
Encoder Representations from Transformers (BERT) combining a recurrent neural
network (RNN) with conditional label masking to sequentially tag entities
before it classifies their relations. Our model also introduces a learnable …

arxiv bert extraction financial kpi reports