1 code implementation • 20 Dec 2023 • Alexander Braylan, Madalyn Marabella, Omar Alonso, Matthew Lease
Beyond investigating these research questions above, we discuss the foundational concept of annotation complexity, present a new aggregation model as a bridge between traditional models and our own, and contribute a new semi-supervised learning method for complex label aggregation that outperforms prior work.
1 code implementation • 15 Dec 2022 • Alexander Braylan, Omar Alonso, Matthew Lease
When annotators label data, a key metric for quality assurance is inter-annotator agreement (IAA): the extent to which annotators agree on their labels.
no code implementations • 4 Dec 2015 • Alexander Braylan, Mark Hollenbeck, Elliot Meyerson, Risto Miikkulainen
A general approach to knowledge transfer is introduced in which an agent controlled by a neural network adapts how it reuses existing networks as it learns in a new domain.