  The numerical reasoning in the financial domain -- performing quantitative
analysis and summarizing the information from financial reports -- can greatly
increase business efficiency and reduce costs of billions of dollars. Here, we
propose a numerical reasoning question answering system to answer numerical
reasoning questions among financial text and table data sources, consisting of
a retriever module, a generator module, and an ensemble module. Specifically,
in the retriever module, in addition to retrieving the whole row data, we
innovatively design a cell retriever that retrieves the gold cells to avoid
bringing unrelated and similar cells in the same row to the inputs of the
generator module. In the generator module, we utilize multiple generators to
produce programs, which are operation steps to answer the question. Finally, in
the ensemble module, we integrate multiple programs to choose the best program
as the output of our system. In the final private test set in FinQA
Competition, our system obtains 69.79 execution accuracy.
