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Infusing Disease Knowledge into BERT for Health Question Answering,
  Medical Inference and Disease Name Recognition

Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition

8 October 2020
Yun He
Ziwei Zhu
Yin Zhang
Qin Chen
James Caverlee
    AI4MH
ArXivPDFHTML

Papers citing "Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition"

13 / 13 papers shown
Title
Generating multiple-choice questions for medical question answering with
  distractors and cue-masking
Generating multiple-choice questions for medical question answering with distractors and cue-masking
Damien Sileo
Kanimozhi Uma
Marie-Francine Moens
30
5
0
13 Mar 2023
A Comparative Study of Pretrained Language Models for Long Clinical Text
A Comparative Study of Pretrained Language Models for Long Clinical Text
Yikuan Li
R. M. Wehbe
F. Ahmad
Hanyin Wang
Yuan Luo
LM&MA
ELM
VLM
MedIm
18
78
0
27 Jan 2023
Medical Question Understanding and Answering with Knowledge Grounding
  and Semantic Self-Supervision
Medical Question Understanding and Answering with Knowledge Grounding and Semantic Self-Supervision
Khalil Mrini
Harpreet Singh
Franck Dernoncourt
Seunghyun Yoon
Trung Bui
Walter Chang
E. Farcas
Ndapandula Nakashole
ELM
AI4MH
15
4
0
30 Sep 2022
Unsupervised pre-training of graph transformers on patient population
  graphs
Unsupervised pre-training of graph transformers on patient population graphs
Chantal Pellegrini
Nassir Navab
Anees Kazi
MedIm
AI4CE
34
11
0
21 Jul 2022
A Benchmark for Automatic Medical Consultation System: Frameworks, Tasks
  and Datasets
A Benchmark for Automatic Medical Consultation System: Frameworks, Tasks and Datasets
Wei Chen
Zhiwei Li
Hongyi Fang
Qian-Qian Yao
Cheng Zhong
Jianye Hao
Qi Zhang
Xuanjing Huang
J. Peng
Zhongyu Wei
13
57
0
19 Apr 2022
Hierarchical Annotation for Building A Suite of Clinical Natural
  Language Processing Tasks: Progress Note Understanding
Hierarchical Annotation for Building A Suite of Clinical Natural Language Processing Tasks: Progress Note Understanding
Yanjun Gao
Dmitriy Dligach
Timothy A. Miller
S. Tesch
Ryan Laffin
M. Churpek
Majid Afshar
18
16
0
06 Apr 2022
Auto-MLM: Improved Contrastive Learning for Self-supervised
  Multi-lingual Knowledge Retrieval
Auto-MLM: Improved Contrastive Learning for Self-supervised Multi-lingual Knowledge Retrieval
Wenshen Xu
M. Maimaiti
Yuanhang Zheng
Xin Tang
Ji Zhang
RALM
SSL
10
2
0
30 Mar 2022
Clinical-Longformer and Clinical-BigBird: Transformers for long clinical
  sequences
Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences
Yikuan Li
R. M. Wehbe
F. Ahmad
Hanyin Wang
Yuan Luo
VLM
MedIm
135
82
0
27 Jan 2022
Probing Pre-Trained Language Models for Disease Knowledge
Probing Pre-Trained Language Models for Disease Knowledge
Israa Alghanmi
Luis Espinosa-Anke
Steven Schockaert
LM&MA
ELM
6
13
0
14 Jun 2021
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
232
1,444
0
18 Mar 2020
K-BERT: Enabling Language Representation with Knowledge Graph
K-BERT: Enabling Language Representation with Knowledge Graph
Weijie Liu
Peng Zhou
Zhe Zhao
Zhiruo Wang
Qi Ju
Haotang Deng
Ping Wang
220
773
0
17 Sep 2019
Knowledge Enhanced Contextual Word Representations
Knowledge Enhanced Contextual Word Representations
Matthew E. Peters
Mark Neumann
IV RobertL.Logan
Roy Schwartz
Vidur Joshi
Sameer Singh
Noah A. Smith
215
651
0
09 Sep 2019
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
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
6,724
0
26 Sep 2016
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