2.3.5 Required Reading

Course subject(s) Module 2. Crowdsourcing for AI

Required Reading

In this unit, you covered active learning and how it can be used to reduce worker effort. To see an example of recent work involving active learning, we have provided an empirical study using the transformer model, BERT.

Dor, L. E., Halfon, A., Gera, A., Shnarch, E., Dankin, L., Choshen, L., … & Slonim, N. (2020, November). Active learning for BERT: an empirical study. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (pp. 7949-7962).

Creative Commons License
AI skills for engineers: Data creation and collection by TU Delft OpenCourseWare is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on a work at https://online-learning.tudelft.nl/courses/data-creation-and-collection-for-artificial-intelligence-via-crowdsourcing/ /
Back to top