Evaluating the Quality of a Corpus Annotation Scheme Using Pretrained Language Models (2024.lrec-main)
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Furkan Akkurt, Onur Gungor, Büşra Marşan, Tunga Gungor, Balkiz Ozturk Basaran, Arzucan Özgür, Susan Uskudarli
| Challenge: | Pretrained language models and large language models are increasingly used to assist in a variety of natural language processing tasks. |
| Approach: | They propose to use pretrained language models and large language models to evaluate their quality in natural language processing. |
| Outcome: | The proposed annotation scheme (2.11) yields sentences with higher success rate than the previous one. |
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