14 citations · 40 across the 13 of their papers we have counts for
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cs.LG2020★ 4 cited
Data Programming by Demonstration: A Framework for Interactively Learning Labeling Functions
Sara Evensen, Chang Ge, Dongjin Choi +1
Data programming is a programmatic weak supervision approach to efficiently curate large-scale labeled training data. Writing data programs (labeling functions) requires, however,…
cs.LG2019★ 12 cited
Sherlock: A Deep Learning Approach to Semantic Data Type Detection
Madelon Hulsebos, Kevin Hu, Michiel Bakker +5
Correctly detecting the semantic type of data columns is crucial for data science tasks such as automated data cleaning, schema matching, and data discovery. Existing data preparat…