Iterative Data Programming for Expanding Text Classification Corpora

4 Feb 2020Neil MallinarAbhishek ShahTin Kam HoRajendra UgraniAyush Gupta

Real-world text classification tasks often require many labeled training examples that are expensive to obtain. Recent advancements in machine teaching, specifically the data programming paradigm, facilitate the creation of training data sets quickly via a general framework for building weak models, also known as labeling functions, and denoising them through ensemble learning techniques... (read more)

PDF Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.