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The numerical reasoning in the financial domain -- performing quantitativeanalysis and summarizing the information from financial reports -- can greatlyincrease business efficiency and reduce costs of billions of dollars. Here, wepropose a numerical reasoning question answering system to answer numericalreasoning questions among financial text and table data sources, consisting ofa retriever module, a generator module, and an ensemble module. Specifically,in the retriever module, in addition to retrieving the whole row data, weinnovatively design a cell retriever that retrieves the gold cells to avoidbringing unrelated and similar cells in the same row to the inputs of thegenerator module. In the generator module, we utilize multiple generators toproduce programs, which are operation steps to answer the question. Finally, inthe ensemble module, we integrate multiple programs to choose the best programas the output of our system. In the final private test set in FinQACompetition, our system obtains 69.79 execution accuracy.

A Numerical Reasoning Question Answering System with Fine-grained Retriever and the Ensemble of Multiple Generators for FinQA