Summary of Bis: Nl2sql Service Evaluation Benchmark For Business Intelligence Scenarios, by Bora Caglayan et al.
BIS: NL2SQL Service Evaluation Benchmark for Business Intelligence Scenarios
by Bora Caglayan, Mingxue Wang, John D. Kelleher, Shen Fei, Gui Tong, Jiandong Ding, Puchao Zhang
First submitted to arxiv on: 30 Oct 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes a new benchmark for Natural Language to Structured Query Language (NL2SQL) transformation, specifically designed for Business Intelligence (BI) applications. The existing benchmarks are not suitable for production BI scenarios as they focus on general questions rather than common business intelligence inquiries. To address this gap, the authors develop a new benchmark focused on typical NL questions in industrial BI scenarios. The paper discusses the challenges of constructing a BI-focused benchmark and the shortcomings of existing benchmarks. Additionally, it introduces question categories that reflect common BI inquiries. Furthermore, two novel semantic similarity evaluation metrics are proposed for assessing NL2SQL capabilities in BI applications and services. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about making it easier to turn natural language into structured queries for business intelligence. Right now, there’s a gap between the kinds of questions people ask and the way current benchmarks test how well this conversion works. The authors created a new benchmark that focuses on common questions asked in real-world BI scenarios. They also discuss the challenges of creating this kind of benchmark and what’s missing from existing ones. Two new ways to measure how well NL2SQL works are introduced, which can help improve BI applications and services. |
