Cargando…

JCBIE: a joint continual learning neural network for biomedical information extraction

Extracting knowledge from heterogeneous data sources is fundamental for the construction of structured biomedical knowledge graphs (BKGs), where entities and relations are represented as nodes and edges in the graphs, respectively. Previous biomedical knowledge extraction methods simply considered l...

Descripción completa

Detalles Bibliográficos
Autores principales:	He, Kai, Mao, Rui, Gong, Tieliang, Cambria, Erik, Li, Chen
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2022
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9761970/ https://www.ncbi.nlm.nih.gov/pubmed/36536280 http://dx.doi.org/10.1186/s12859-022-05096-w

Ejemplares similares

Conditional Probability Joint Extraction of Nested Biomedical Events: Design of a Unified Extraction Framework Based on Neural Networks
por: Wang, Yan, et al.
Publicado: (2022)

A neural joint model for entity and relation extraction from biomedical text
por: Li, Fei, et al.
Publicado: (2017)

Transfer learning for biomedical named entity recognition with neural networks
por: Giorgi, John M, et al.
Publicado: (2018)

Combining joint models for biomedical event extraction
por: McClosky, David, et al.
Publicado: (2012)

Weakly supervised learning of biomedical information extraction from curated data
por: Jain, Suvir, et al.
Publicado: (2016)

Biomedical named entity recognition using deep neural networks with contextual information
por: Cho, Hyejin, et al.
Publicado: (2019)

Biomedical semantic indexing by deep neural network with multi-task learning
por: Du, Yongping, et al.
Publicado: (2018)

Erratum to: Weakly supervised learning of biomedical information extraction from curated data
por: Jain, Suvir, et al.
Publicado: (2016)

Structured learning for spatial information extraction from biomedical text: bacteria biotopes
por: Kordjamshidi, Parisa, et al.
Publicado: (2015)

Bayesian continual learning via spiking neural networks
por: Skatchkovsky, Nicolas, et al.
Publicado: (2022)

Introducing meta-services for biomedical information extraction
por: Leitner, Florian, et al.
Publicado: (2008)

A multiple distributed representation method based on neural network for biomedical event extraction
por: Wang, Anran, et al.
Publicado: (2017)

Bi-directional Recurrent Neural Network Models for Geographic Location Extraction in Biomedical Literature
por: Magge, Arjun, et al.
Publicado: (2019)

Continuous Attractor Neural Networks: Candidate of a Canonical Model for Neural Information Representation
por: Wu, Si, et al.
Publicado: (2016)

Family history information extraction via deep joint learning
por: Shi, Xue, et al.
Publicado: (2019)

Continuous Similarity Learning with Shared Neural Semantic Representation for Joint Event Detection and Evolution
por: Zhou, Pengpeng, et al.
Publicado: (2020)

Neural networks and artificial intelligence for biomedical engineering
por: Hudson, D L, et al.
Publicado: (2000)

Applications of Neural Networks in Biomedical Data Analysis
por: Weiss, Romano, et al.
Publicado: (2022)

Brain-inspired replay for continual learning with artificial neural networks
por: van de Ven, Gido M., et al.
Publicado: (2020)

Drug drug interaction extraction from biomedical literature using syntax convolutional neural network
por: Zhao, Zhehuan, et al.
Publicado: (2016)

Biomedical event extraction with a novel combination strategy based on hybrid deep neural networks
por: Zhu, Lvxing, et al.
Publicado: (2020)

Continuous Blood Pressure Estimation Based on Multi-Scale Feature Extraction by the Neural Network With Multi-Task Learning
por: Jiang, Hengbing, et al.
Publicado: (2022)

A neural network multi-task learning approach to biomedical named entity recognition
por: Crichton, Gamal, et al.
Publicado: (2017)

Deep learning based search engine for biomedical images using convolutional neural networks
por: Mishra, Richa, et al.
Publicado: (2021)

Construction of an annotated corpus to support biomedical information extraction
por: Thompson, Paul, et al.
Publicado: (2009)

Extracting laboratory test information from biomedical text
por: Kang, Yanna Shen, et al.
Publicado: (2013)

Deep learning methods for biomedical information analysis
por: Zhang, Yudong, et al.
Publicado: (2023)

Pre-trained models, data augmentation, and ensemble learning for biomedical information extraction and document classification
por: Erdengasileng, Arslan, et al.
Publicado: (2022)

BioInfer: a corpus for information extraction in the biomedical domain
por: Pyysalo, Sampo, et al.
Publicado: (2007)

Named Entity Recognition and Relation Detection for Biomedical Information Extraction
por: Perera, Nadeesha, et al.
Publicado: (2020)

International Conference on Extreme Learning Machines 2014
por: Cao, Jiuwen, et al.
Publicado: (2015)

Extracting Wetland Type Information with a Deep Convolutional Neural Network
por: Guan, XianMing, et al.
Publicado: (2022)

Neural inhibition for continual learning and memory
por: Barron, Helen C
Publicado: (2021)

Minimize the Percentage of Noise in Biomedical Images Using Neural Networks
por: Saudagar, Abdul Khader Jilani
Publicado: (2014)

Classification and Reconstruction of Biomedical Signals Based on Convolutional Neural Network
por: Zhu, Zijiang, et al.
Publicado: (2022)

RTJTN: Relational Triplet Joint Tagging Network for Joint Entity and Relation Extraction
por: Yang, Zhenyu, et al.
Publicado: (2021)

Extracting automata from neural networks using active learning
por: Xu, Zhiwu, et al.
Publicado: (2021)

S1000: a better taxonomic name corpus for biomedical information extraction
por: Luoma, Jouni, et al.
Publicado: (2023)

International Joint Conference on Neural Networks
por: Collective
Publicado: (1999)

International Joint Conference on Neural Networks
Publicado: (2007)

Cannot write session to /tmp/vufind_sessions/sess_77rhlb9kj1s5820hhe4r4fhmlb