ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1908.05760
  4. Cited By
BioFLAIR: Pretrained Pooled Contextualized Embeddings for Biomedical
  Sequence Labeling Tasks

BioFLAIR: Pretrained Pooled Contextualized Embeddings for Biomedical Sequence Labeling Tasks

13 August 2019
Shreyas Sharma
Ron Daniel
ArXiv (abs)PDFHTML

Papers citing "BioFLAIR: Pretrained Pooled Contextualized Embeddings for Biomedical Sequence Labeling Tasks"

11 / 11 papers shown
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and EthicsInformation Fusion (Inf. Fusion), 2023
Kai He
Rui Mao
Qika Lin
Yucheng Ruan
Xiang Lan
Mengling Feng
Xiaoshi Zhong
LM&MAAILaw
724
267
0
28 Jan 2025
ToNER: Type-oriented Named Entity Recognition with Generative Language
  Model
ToNER: Type-oriented Named Entity Recognition with Generative Language Model
Guochao Jiang
Ziqin Luo
Yuchen Shi
Dixuan Wang
Jiaqing Liang
Deqing Yang
182
20
0
14 Apr 2024
A ModelOps-based Framework for Intelligent Medical Knowledge Extraction
A ModelOps-based Framework for Intelligent Medical Knowledge Extraction
Hongxin Ding
Peinie Zou
Zhiyuan Wang
Junfeng Zhao
Yasha Wang
Qiang Zhou
162
0
0
04 Oct 2023
NER-to-MRC: Named-Entity Recognition Completely Solving as Machine
  Reading Comprehension
NER-to-MRC: Named-Entity Recognition Completely Solving as Machine Reading Comprehension
Yuxiang Zhang
Junjie Wang
Xinyu Zhu
Tetsuya Sakai
Hayato Yamana
160
3
0
06 May 2023
Assessment of contextualised representations in detecting outcome
  phrases in clinical trials
Assessment of contextualised representations in detecting outcome phrases in clinical trials
Micheal Abaho
Danushka Bollegala
P. Williamson
S. Dodd
141
9
0
13 Feb 2022
Pre-trained Language Models in Biomedical Domain: A Systematic Survey
Pre-trained Language Models in Biomedical Domain: A Systematic SurveyACM Computing Surveys (CSUR), 2021
Benyou Wang
Qianqian Xie
Jiahuan Pei
Zhihong Chen
Prayag Tiwari
Zhao Li
Jie Fu
LM&MAAI4CE
461
209
0
11 Oct 2021
Improving Named Entity Recognition by External Context Retrieving and
  Cooperative Learning
Improving Named Entity Recognition by External Context Retrieving and Cooperative LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Xinyu Wang
Yong Jiang
Nguyen Bach
Tao Wang
Zhongqiang Huang
Fei Huang
Kewei Tu
241
162
0
08 May 2021
ELECTRAMed: a new pre-trained language representation model for
  biomedical NLP
ELECTRAMed: a new pre-trained language representation model for biomedical NLP
Giacomo Miolo
Giulio Mantoan
C. Orsenigo
199
27
0
19 Apr 2021
Regularization for Long Named Entity Recognition
Regularization for Long Named Entity Recognition
Minbyul Jeong
Jaewoo Kang
181
4
0
15 Apr 2021
Text Mining to Identify and Extract Novel Disease Treatments From
  Unstructured Datasets
Text Mining to Identify and Extract Novel Disease Treatments From Unstructured Datasets
Rahul Yedida
S. Abrar
C. Melo-Filho
E. Muratov
Rada Y. Chirkova
A. Tropsha
77
1
0
22 Oct 2020
A Qualitative Evaluation of Language Models on Automatic
  Question-Answering for COVID-19
A Qualitative Evaluation of Language Models on Automatic Question-Answering for COVID-19
David Oniani
Yanshan Wang
198
32
0
19 Jun 2020
1