Clinical Relation Extraction Using Transformer-based Models

Autor: Yang, Xi, Yu, Zehao, Guo, Yi, Bian, Jiang, Wu, Yonghui

The newly emerged transformer technology has a tremendous impact on NLP research. In the general English domain, transformer-based models have achieved state-of-the-art performances on various NLP benchmarks. In the clinical domain, researchers also

Externí odkaz: http://arxiv.org/abs/2107.08957

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LLM Instruction-Example Adaptive Prompting (LEAP) Framework for Clinical Relation Extraction.

Autor: Zhou H; Institute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, USA., Li M; Division of Computational Health Sciences, Department of Surgery, University of Minnesota, Minneapolis, Minnesota, USA., Xiao Y; Institute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, USA., Yang H; Institute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, USA., Zhang R; Division of Computational Health Sciences, Department of Surgery, University of Minnesota, Minneapolis, Minnesota, USA.

Publikováno v: MedRxiv : the preprint server for health sciences [medRxiv] 2023 Dec 17. Date of Electronic Publication: 2023 Dec 17.

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L’apprentissage de la relation et de l’examen cliniques en cancérologie.

Autor: Hœrni, B.¹ hoerni@bergonie.org, Kantor, G.¹, Soubeyran, P.¹, Boutin, O.¹, Favant, M.¹

Publikováno v: Oncologie (Tech Science Press). mar2005, Vol. 7 Issue 1, p65-69. 5p. 2 Charts.