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ML-Net: multi-label classification of biomedical texts with deep neural
  networks

ML-Net: multi-label classification of biomedical texts with deep neural networks

13 November 2018
Jingcheng Du
Qingyu Chen
Yifan Peng
Yang Xiang
Cui Tao
Zhiyong Lu
ArXivPDFHTML

Papers citing "ML-Net: multi-label classification of biomedical texts with deep neural networks"

12 / 12 papers shown
Title
Medical-GAT: Cancer Document Classification Leveraging Graph-Based Residual Network for Scenarios with Limited Data
Medical-GAT: Cancer Document Classification Leveraging Graph-Based Residual Network for Scenarios with Limited Data
Elias Hossain
Tasfia Nuzhat
Shamsul Masum
Shahram Rahimi
Sudip Mittal
44
0
0
19 Oct 2024
Deep Learning for Multi-Label Learning: A Comprehensive Survey
Deep Learning for Multi-Label Learning: A Comprehensive Survey
A. Tarekegn
M. Ullah
F. A. Cheikh
AI4TS
40
8
0
29 Jan 2024
The Effects of In-domain Corpus Size on pre-training BERT
The Effects of In-domain Corpus Size on pre-training BERT
Chris Sanchez
Zheyu Zhang
AI4CE
16
4
0
15 Dec 2022
A reproducible experimental survey on biomedical sentence similarity: a
  string-based method sets the state of the art
A reproducible experimental survey on biomedical sentence similarity: a string-based method sets the state of the art
Alicia Lara-Clares
Juan J. Lastra-Díaz
A. García-Serrano
27
0
0
18 May 2022
Multi-label classification for biomedical literature: an overview of the
  BioCreative VII LitCovid Track for COVID-19 literature topic annotations
Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations
Qingyu Chen
Alexis Allot
Robert Leaman
Rezarta Islamaj Dougan
Jingcheng Du
...
S. Pujari
Mariia Chizhikova
Naveen Sivadasan
Naveen Sivadasan
Zhiyong Lu
27
30
0
20 Apr 2022
LitMC-BERT: transformer-based multi-label classification of biomedical
  literature with an application on COVID-19 literature curation
LitMC-BERT: transformer-based multi-label classification of biomedical literature with an application on COVID-19 literature curation
Qingyu Chen
Jingcheng Du
Alexis Allot
Zhiyong Lu
24
25
0
19 Apr 2022
Multi-label topic classification for COVID-19 literature with Bioformer
Multi-label topic classification for COVID-19 literature with Bioformer
Li Fang
Kai Wang
17
4
0
14 Apr 2022
Revisiting Transformer-based Models for Long Document Classification
Revisiting Transformer-based Models for Long Document Classification
Xiang Dai
Ilias Chalkidis
S. Darkner
Desmond Elliott
VLM
25
68
0
14 Apr 2022
sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel
  Classification
sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification
Gabriel Bénédict
Vincent Koops
Daan Odijk
Maarten de Rijke
37
30
0
24 Aug 2021
Multimodal Learning for Cardiovascular Risk Prediction using EHR Data
Multimodal Learning for Cardiovascular Risk Prediction using EHR Data
A. Bagheri
T. K. Groenhof
W. B. Veldhuis
P. A. Jong
F. Asselbergs
Daniel L. Oberski
21
15
0
27 Aug 2020
Document Classification for COVID-19 Literature
Document Classification for COVID-19 Literature
Bernal Jiménez Gutiérrez
Juncheng Zeng
Dongdong Zhang
Ping Zhang
Yu-Chuan Su
OOD
19
32
0
15 Jun 2020
Transfer Learning in Biomedical Natural Language Processing: An
  Evaluation of BERT and ELMo on Ten Benchmarking Datasets
Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets
Yifan Peng
Shankai Yan
Zhiyong Lu
LM&MA
AI4MH
15
830
0
13 Jun 2019
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