You Are What You Annotate: Towards Better Models through Annotator Representations

Naihao Deng, Xinliang Frederick Zhang, Siyang Liu +3

Annotator disagreement is ubiquitous in natural language processing (NLP) tasks. There are multiple reasons for such disagreements, including the subjectivity of the task, difficul…