Title | ||
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Enabling Near Real-Time NLU-Driven Natural Language Programming through Dynamic Grammar Graph-Based Translation |
Abstract | ||
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Recently, natural language (NL)-based program synthesis has drawn increasing interest. Conventional methods that depend on some predefined domain-specific rules suffer from the lack of robustness and generality. Recent efforts on adopting deep learning to map queries to code requires a large number of labeled examples, making them not applicable on domains with scarce labeled examples. Although a ... |
Year | DOI | Venue |
---|---|---|
2022 | 10.1109/CGO53902.2022.9741262 | 2022 IEEE/ACM International Symposium on Code Generation and Optimization (CGO) |
Keywords | DocType | ISSN |
Codes,Heuristic algorithms,Natural languages,Programming,Real-time systems,Grammar,Dynamic programming | Conference | 2164-2397 |
ISBN | Citations | PageRank |
978-1-6654-0584-3 | 0 | 0.34 |
References | Authors | |
0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zifan Nan | 1 | 0 | 0.68 |
Xipeng Shen | 2 | 2025 | 118.55 |
Hui Guan | 3 | 0 | 0.34 |