دورية أكاديمية
Few-shot fine-tuning SOTA summarization models for medical dialogues
| العنوان: | Few-shot fine-tuning SOTA summarization models for medical dialogues |
|---|---|
| المؤلفون: | Fraile Navarro, David, Dras, Mark, Berkovsky, Shlomo |
| المصدر: | Fraile Navarro , D , Dras , M & Berkovsky , S 2022 , Few-shot fine-tuning SOTA summarization models for medical dialogues . in The 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies : Proceedings of the Student Research Workshop . Association for Computational Linguistics (ACL) , Stroudsburg, PA, USA , pp. 254-266 , 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , Seattle , Washington , United States , 10/07/22 . < https://aclanthology.org/2022.naacl-srw.32Test/ > |
| بيانات النشر: | Association for Computational Linguistics (ACL) |
| سنة النشر: | 2022 |
| الوصف: | ive summarization of medical dialogues presents a challenge for standard training approaches given the paucity of suitable datasets. We explore the performance of state-of-the-art models with zero-shot and few-shot learning strategies and measure the impact of pretraining with general domain and dialogue specific text on the summarization performance. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| الإتاحة: | https://researchers.mq.edu.au/en/publications/d552a4ab-4a1e-4616-9ce9-17b563b374dbTest https://research-management.mq.edu.au/ws/files/208418314/Publisher_version_open_access_.pdfTest http://www.scopus.com/inward/record.url?scp=85137584657&partnerID=8YFLogxKTest https://aclanthology.org/2022.naacl-srw.32Test/ |
| حقوق: | info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.82206D44 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |