Annotation Curricula to Implicitly Train Non-Expert Annotators

4 June 2021

Papers citing "Annotation Curricula to Implicitly Train Non-Expert Annotators"

4 / 4 papers shown

Title
Lessons Learned from a Citizen Science Project for Natural Language Processing Jan-Christoph Klie Ji-Ung Lee Kevin Stowe Gozde Gul cSahin N. Moosavi Luke Bates Dominic Petrak Richard Eckart de Castilho Iryna Gurevych 11 4 0 25 Apr 2023
Efficient Methods for Natural Language Processing: A Survey Marcos Vinícius Treviso Ji-Ung Lee Tianchu Ji Betty van Aken Qingqing Cao ... Emma Strubell Niranjan Balasubramanian Leon Derczynski Iryna Gurevych Roy Schwartz 28 109 0 31 Aug 2022
Cold-start Active Learning through Self-supervised Language Modeling Michelle Yuan Hsuan-Tien Lin Jordan L. Boyd-Graber 113 180 0 19 Oct 2020
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets Mor Geva Yoav Goldberg Jonathan Berant 239 319 0 21 Aug 2019