54 citations · 57 across the 5 of their papers we have counts for
5 papers
Refining Labeling Functions with Limited Labeled Data
Chenjie Li, Amir Gilad, Boris Glavic +2
Programmatic weak supervision (PWS) significantly reduces human effort for labeling data by combining the outputs of user-provided labeling functions (LFs) on unlabeled datapoints.…
Understanding Queries by Conditional Instances
Amir Gilad, Zhengjie Miao, Sudeepa Roy +1
A powerful way to understand a complex query is by observing how it operates on data instances. However, specific database instances are not ideal for such observations: they often…
Putting Things into Context: Rich Explanations for Query Answers using Join Graphs (extended version)
Chenjie Li, Zhengjie Miao, Qitian Zeng +2
In many data analysis applications, there is a need to explain why a surprising or interesting result was produced by a query. Previous approaches to explaining results have direct…
Snippext: Semi-supervised Opinion Mining with Augmented Data
Zhengjie Miao, Yuliang Li, Xiaolan Wang +1
Online services are interested in solutions to opinion mining, which is the problem of extracting aspects, opinions, and sentiments from text. One method to mine opinions is to lev…
Explaining Wrong Queries Using Small Examples
Zhengjie Miao, Sudeepa Roy, Jun Yang
For testing the correctness of SQL queries, e.g., evaluating student submissions in a database course, a standard practice is to execute the query in question on some test database…