Are Expert-Level Language Models Expert-Level Annotators?

• URL: http://arxiv.org/abs/2410.03254v1
• Date: Fri, 4 Oct 2024 09:17:09 GMT
• Title: Are Expert-Level Language Models Expert-Level Annotators?
• Authors: Yu-Min Tseng, Wei-Lin Chen, Chung-Chi Chen, Hsin-Hsi Chen,
• Abstract summary: This work investigates the extent to which LLMs as data annotators perform in domains requiring expert knowledge. To the best of our knowledge, we present the first systematic evaluation of LLMs as expert-level data annotators.
• Score: 17.06186816803593
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Data annotation refers to the labeling or tagging of textual data with relevant information. A large body of works have reported positive results on leveraging LLMs as an alternative to human annotators. However, existing studies focus on classic NLP tasks, and the extent to which LLMs as data annotators perform in domains requiring expert knowledge remains underexplored. In this work, we investigate comprehensive approaches across three highly specialized domains and discuss practical suggestions from a cost-effectiveness perspective. To the best of our knowledge, we present the first systematic evaluation of LLMs as expert-level data annotators.

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