Fine-Tuning Pretrained Language Models With Label Attention for Biomedical Text Classification

26 August 2021

Papers citing "Fine-Tuning Pretrained Language Models With Label Attention for Biomedical Text Classification"

8 / 8 papers shown

Title
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned Elena Voita David Talbot F. Moiseev Rico Sennrich Ivan Titov 104 1,134 0 23 May 2019
How to Fine-Tune BERT for Text Classification? Chi Sun Xipeng Qiu Yige Xu Xuanjing Huang 87 1,519 0 14 May 2019
To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks Matthew E. Peters Sebastian Ruder Noah A. Smith 73 437 0 14 Mar 2019
BioBERT: a pre-trained biomedical language representation model for biomedical text mining Jinhyuk Lee Wonjin Yoon Sungdong Kim Donghyeon Kim Sunkyu Kim Chan Ho So Jaewoo Kang OOD 140 5,628 0 25 Jan 2019
ML-Net: multi-label classification of biomedical texts with deep neural networks Jingcheng Du Qingyu Chen Yifan Peng Yang Xiang Cui Tao Zhiyong Lu 92 139 0 13 Nov 2018
Explainable Prediction of Medical Codes from Clinical Text J. Mullenbach Sarah Wiegreffe J. Duke Jimeng Sun Jacob Eisenstein FAtt 78 572 0 15 Feb 2018
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 346 10,467 0 21 Jul 2016
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 605 13,416 0 25 Aug 2014