If in a Crowdsourced Data Annotation Pipeline, a GPT-4
Zeyu He,
Chieh-Yang Huang,
Chien-Kuang Cornelia Ding
et al.
Abstract:Recent studies indicated GPT-4 outperforms online crowd workers in data labeling accuracy, notably workers from Amazon Mechanical Turk (MTurk). However, these studies were criticized for deviating from standard crowdsourcing practices and emphasizing individual workers' performances over the whole data-annotation process. This paper compared GPT-4 and an ethical and well-executed MTurk pipeline, with 415 workers labeling 3,177 sentence segments from 200 scholarly articles using the CODA-19 scheme. Two worker i… Show more
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