Jan. 14, 2022, 2:10 a.m. | Xingbo Wang, Furui Cheng, Yong Wang, Ke Xu, Jiang Long, Hong Lu, Huamin Qu

cs.CL updates on arXiv.org arxiv.org

Natural language interfaces (NLIs) provide users with a convenient way to
interactively analyze data through natural language queries. Nevertheless,
interactive data analysis is a demanding process, especially for novice data
analysts. When exploring large and complex datasets from different domains,
data analysts do not necessarily have sufficient knowledge about data and
application domains. It makes them unable to efficiently elicit a series of
queries and extensively derive desirable data insights. In this paper, we
develop an NLI with a step-wise …

analysis arxiv data data analysis interactive language natural natural language

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