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Challenges in annotations by humans and LLMs: A case study of evaluative language

arXiv cs.CL · yesterday Cached

This paper compares human linguists in training, a trained linguist, and LLMs on annotating evaluative language using Appraisal theory, finding that LLMs achieve strong performance and can assist in complex annotation tasks.

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