Extract Financial Relationships - Finance NLP Demos & Notebooks

This demo shows how you can carry out Relation Extraction without training any model, just with some textual examples. (...)

This model uses Entity Recognition to identify ORG (Companies), PRODUCT (Products) and their ALIAS in financial documents. (...)

This demo shows how to extract Acquisition and Subsidiary relations from ORG (Companies), ALIAS (Aliases of companies in an agreement) and PRODUCT (Products). (...)

This demo shows how you can group together entities as PERSON, DATE, ORG (Organizations) and ROLE (job titles) to understand present and past job experiences of employees. (...)

This model extracts relations between amounts, counts, percentages, dates and the financial entities extracted with `finner_financial` models. (...)