Few-shot Learning for Named Entity Recognition in Medical Text

13 November 2018

Papers citing "Few-shot Learning for Named Entity Recognition in Medical Text"

23 / 23 papers shown

Title
Beyond Text: Characterizing Domain Expert Needs in Document Research Sireesh Gururaja Nupoor Gandhi Jeremiah Milbauer Emma Strubell 131 0 0 16 Apr 2025
Argument Mining in Data Scarce Settings: Cross-lingual Transfer and Few-shot Techniques Anar Yeginbergen Maite Oronoz Rodrigo Agerri 92 2 0 04 Jul 2024
Korean Bio-Medical Corpus (KBMC) for Medical Named Entity Recognition Sungjoo Byun Jiseung Hong Sumin Park Dongjun Jang Jean Seo Minseok Kim Chaeyoung Oh Hyopil Shin 60 0 0 24 Mar 2024
Multi-level biomedical NER through multi-granularity embeddings and enhanced labeling Fahime Shahrokh Nasser Ghadiri Rasoul Samani M. Moradi 133 0 0 24 Dec 2023
Enhancing Low-resource Fine-grained Named Entity Recognition by Leveraging Coarse-grained Datasets Su ah Lee Seokjin Oh Woohwan Jung 79 3 0 18 Oct 2023
Are Emergent Abilities in Large Language Models just In-Context Learning? Sheng Lu Irina Bigoulaeva Rachneet Sachdeva Harish Tayyar Madabushi Iryna Gurevych LRM ELM ReLM 153 100 0 04 Sep 2023
Few Shot Learning for Medical Imaging: A Comparative Analysis of Methodologies and Formal Mathematical Framework Jannatul Nayem Sayed Sahriar Hasan Noshin Amina Bristy Das Md. Shahin Ali M. Ahsan S. Raman 71 10 0 08 May 2023
From Zero to Hero: Harnessing Transformers for Biomedical Named Entity Recognition in Zero- and Few-shot Contexts Milos Kosprdic Nikola Prodanović Adela Ljajić Bojana Bašaragin Nikola Milosevic MedIm 77 7 0 05 May 2023
Few-Shot Nested Named Entity Recognition Hong Ming Jiaoyun Yang Lili Jiang Yan Pan Ning An 79 10 0 02 Dec 2022
Clinical Prompt Learning with Frozen Language Models Niall Taylor Yi Zhang Dan W Joyce A. Nevado-Holgado Andrey Kormilitzin VLM LM&MA 58 34 0 11 May 2022
Few-shot learning for medical text: A systematic review Yao Ge Yuting Guo Yuan-Chi Yang M. Al-garadi A. Sarker 74 21 0 21 Apr 2022
CLIN-X: pre-trained language models and a study on cross-task transfer for concept extraction in the clinical domain Lukas Lange Heike Adel Jannik Strötgen Dietrich Klakow AILaw LM&MA 83 21 0 16 Dec 2021
Template-free Prompt Tuning for Few-shot NER Ruotian Ma Xin Zhou Tao Gui Y. Tan Linyang Li Qi Zhang Xuanjing Huang VLM 230 183 0 28 Sep 2021
Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework Yaqing Wang Haoda Chu Chao Zhang Jing Gao 79 39 0 11 Sep 2021
GPT-3 Models are Poor Few-Shot Learners in the Biomedical Domain M. Moradi Kathrin Blagec F. Haberl Matthias Samwald LM&MA AI4MH 103 66 0 06 Sep 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data Yang Hu Adriane P. Chapman Guihua Wen Dame Wendy Hall 100 25 0 11 Jun 2021
Few-NERD: A Few-Shot Named Entity Recognition Dataset Ning Ding Guangwei Xu Yulin Chen Xiaobin Wang Xu Han Pengjun Xie Haitao Zheng Zhiyuan Liu 110 239 0 16 May 2021
Dynamic Boundary Time Warping for Sub-sequence Matching with Few Examples Łukasz Borchmann Dawid Jurkiewicz Filip Graliñski Tomasz Górecki 56 0 0 27 Oct 2020
Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning Yi Yang Arzoo Katiyar NAI 79 65 0 06 Oct 2020
A Survey on Machine Learning from Few Samples Jiang Lu Pinghua Gong Jieping Ye Jianwei Zhang Changshu Zhang 102 52 0 06 Sep 2020
Med7: a transferable clinical natural language processing model for electronic health records Andrey Kormilitzin N. Vaci Qiang Liu A. Nevado-Holgado 97 120 0 03 Mar 2020
Low-Resource Name Tagging Learned with Weakly Labeled Data Yixin Cao Zikun Hu Tat-Seng Chua Zhiyuan Liu Heng Ji NoLa 76 77 0 26 Aug 2019
Named Entity Recognition in Electronic Health Records Using Transfer Learning Bootstrapped Neural Networks Luka Gligic Andrey Kormilitzin Paul W. Goldberg A. Nevado-Holgado 91 83 0 06 Jan 2019