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A Numerical Reasoning Question Answering System with Fine-grained Retriever and the Ensemble of Multiple Generators for FinQA. (arXiv:2206.08506v1 [cs.CL])
Web: http://arxiv.org/abs/2206.08506
June 20, 2022, 1:12 a.m. | Bin Wang, Jiangzhou Ju, Yunlin Mao, Xin-Yu Dai, Shujian Huang, Jiajun Chen
cs.CL updates on arXiv.org arxiv.org
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 …
More from arxiv.org / cs.CL updates on arXiv.org
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