Using ChatGPT for Entity Matching. (arXiv:2305.03423v1 [cs.CL])

Entity Matching is the task of deciding if two entity descriptions refer to
the same real-world entity. State-of-the-art entity matching methods often rely
on fine-tuning Transformer models such as BERT or RoBERTa. Two major drawbacks
of using these models for entity matching are that (i) the models require
significant amounts of fine-tuning data for reaching a good performance and
(ii) the fine-tuned models are not robust concerning out-of-distribution
entities. In this paper, we investigate using ChatGPT for entity matching as …

art arxiv bert chatgpt data fine-tuning major roberta state transformer transformer models world