BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker
based on Residual Convolutional Neural Networks

BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks

6 September 2021

Heng Ji

ChengXiang Zhai

Papers citing "BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks"

7 / 7 papers shown

Title
Biomedical Entity Linking as Multiple Choice Question Answering Zhenxi Lin Ziheng Zhang Xian Wu Yefeng Zheng 33 2 0 23 Feb 2024
Biomedical Entity Linking with Triple-aware Pre-Training Xiongliang Yan Cedric Moller Ricardo Usbeck AI4CE 30 3 0 28 Aug 2023
Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding Zhichao Yang Shufan Wang Bhanu Pratap Singh Rawat Avijit Mitra Hong-ye Yu 119 49 0 07 Oct 2022
BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model Hongyi Yuan Zheng Yuan Ruyi Gan Jiaxing Zhang Yutao Xie Sheng Yu LM&MA 22 122 0 08 Apr 2022
Out of Order: How Important Is The Sequential Order of Words in a Sentence in Natural Language Understanding Tasks? Thang M. Pham Trung Bui Long Mai Anh Totti Nguyen 207 122 0 30 Dec 2020
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,743 0 26 Sep 2016
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 252 13,364 0 25 Aug 2014