Semi-Automated Data Labeling

By Michael Desmond, Evelyn Duesterwald, Kristina Brimijoin, Michelle Brachman, Qian Pan. 2020

47 citations recorded by the source corpus.

Subfields: Evaluation & Benchmarks

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Evaluation & Benchmarks

1. Fabrizio Gilardi
2. Hung-yi Lee
3. Cheng-Han Chiang

Citations in the corpus

• ChatGPT outperforms crowd workers for text-annotation tasks (2023, background): “The following questions seem particularly promising: (i) performance across multiple languages; (ii) implementation of few-shot learning; (iii) construction of semi-automated data labeling systems in which a model learns from human annotations and then recommends labeling procedures (Desmond et al.,”
• Is ChatGPT better than Human Annotators? Potential and Limitations of ChatGPT in Explaining Implicit Hate Speech (2023, neutral): “annotators by employing ML models [6].”