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Towards Enhancing Database Education: Natural Language Generation Meets Query Execution Plans

Summary: Introduces lantern, translating query execution plans into natural language to aid DB education. Uses a declarative pool and rule-based lantern for consistent NL generation, plus neural-lantern for varied paraphrase, validated by learner studies. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6164
Venue
SIGMOD
Year
2021
Pagerank
5.3218986e-05
Overall Rank
9,112 | 37.49%
DOI
10.1145/3448016.3452822

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{wang_sigmod21,
        title = {{Towards Enhancing Database Education: Natural Language Generation Meets Query Execution Plans}},
        author = {Wang, Weiguo and Bhowmick, Sourav S and Li, Hui and Liu, Siyuan and Chen, Peng and Joty, Shafiq},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3452822},
        url = {https://dl.acm.org/doi/10.1145/3448016.3452822},
        year = {2021}
}

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