19 citations · 109 across the 26 of their papers we have counts for
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cs.DB2023
DataVinci: Learning Syntactic and Semantic String Repairs
Mukul Singh, José Cambronero, Sumit Gulwani +3
String data is common in real-world datasets: 67.6% of values in a sample of 1.8 million real Excel spreadsheets from the web were represented as text. Systems that successfully cl…
cs.DB2023★ 6 cited
From Words to Code: Harnessing Data for Program Synthesis from Natural Language
Anirudh Khatry, Joyce Cahoon, Jordan Henkel +9
Creating programs to correctly manipulate data is a difficult task, as the underlying programming languages and APIs can be challenging to learn for many users who are not skilled…
cs.DB2012★ 5 cited
Learning Semantic String Transformations from Examples
Rishabh Singh, Sumit Gulwani
We address the problem of performing semantic transformations on strings, which may represent a variety of data types (or their combination) such as a column in a relational table,…