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Found 3 papers, 2 papers with code
A General Model for Aggregating Annotations Across Simple, Complex, and Multi-Object Annotation Tasks
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.
Measuring Annotator Agreement Generally across Complex Structured, Multi-object, and Free-text Annotation Tasks
When annotators label data, a key metric for quality assurance is inter-annotator agreement (IAA): the extent to which annotators agree on their labels.
Reuse of Neural Modules for General Video Game Playing
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.
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