This paper is in the following e-collection/theme issue:

Artificial Intelligence (1402) Ontologies, Classifications, and Coding (239) Information Retrieval (294) Natural Language Processing (700) Precision Medicine and Genetics (48)

Published on in Vol 23, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25670, first published .
Construction of Genealogical Knowledge Graphs From Obituaries: Multitask Neural Network Extraction System

Construction of Genealogical Knowledge Graphs From Obituaries: Multitask Neural Network Extraction System

Construction of Genealogical Knowledge Graphs From Obituaries: Multitask Neural Network Extraction System

Authors of this article:

Kai He1, 2, 3 Author Orcid Image ;   Lixia Yao4 Author Orcid Image ;   JiaWei Zhang1, 2, 3 Author Orcid Image ;   Yufei Li1, 2, 3 Author Orcid Image ;   Chen Li1, 2, 3 Author Orcid Image
Article Authors Cited by (19) Tweetations (2) Metrics

Journals

  1. Yang X, Li W, Chen Y, Guo Y. Construction of a COVID-19 Pandemic Situation Knowledge Graph Considering Spatial Relationships: A Case Study of Guangzhou, China. ISPRS International Journal of Geo-Information 2022;11(11):561 View
  2. He K, Mao R, Gong T, Cambria E, Li C. JCBIE: a joint continual learning neural network for biomedical information extraction. BMC Bioinformatics 2022;23(1) View
  3. Chen L, Liu D, Yang J, Jiang M, Liu S, Wang Y. Construction and application of COVID-19 infectors activity information knowledge graph. Computers in Biology and Medicine 2022;148:105908 View
  4. Ma Y, Mao R, Lin Q, Wu P, Cambria E. Multi-source aggregated classification for stock price movement prediction. Information Fusion 2023;91:515 View
  5. He K, Huang Y, Mao R, Gong T, Li C, Cambria E. Virtual prompt pre-training for prototype-based few-shot relation extraction. Expert Systems with Applications 2023;213:118927 View
  6. Lin Q, Mao R, Liu J, Xu F, Cambria E. Fusing topology contexts and logical rules in language models for knowledge graph completion. Information Fusion 2023;90:253 View
  7. Wu X, Duan J, Pan Y, Li M. Medical Knowledge Graph: Data Sources, Construction, Reasoning, and Applications. Big Data Mining and Analytics 2023;6(2):201 View
  8. Wu J, He K, Mao R, Li C, Cambria E. MEGACare: Knowledge-guided multi-view hypergraph predictive framework for healthcare. Information Fusion 2023;100:101939 View
  9. Mao R, He K, Zhang X, Chen G, Ni J, Yang Z, Cambria E. A survey on semantic processing techniques. Information Fusion 2024;101:101988 View
  10. You J, Wang Q. Sublinear information bottleneck based two-stage deep learning approach to genealogy layout recognition. Frontiers in Neuroscience 2023;17 View
  11. Latif A, Kim J. Evaluation and Analysis of Large Language Models for Clinical Text Augmentation and Generation. IEEE Access 2024:1 View
  12. Park C, Lee H, Jeong O. Leveraging Medical Knowledge Graphs and Large Language Models for Enhanced Mental Disorder Information Extraction. Future Internet 2024;16(8):260 View
  13. Mao R, Ge M, Han S, Li W, He K, Zhu L, Cambria E. A survey on pragmatic processing techniques. Information Fusion 2025;114:102712 View
  14. Nunes M, Bone J, Ferreira J, Elvas L. Health Care Language Models and Their Fine-Tuning for Information Extraction: Scoping Review. JMIR Medical Informatics 2024;12:e60164 View
  15. He K, Mao R, Huang Y, Gong T, Li C, Cambria E. Template-Free Prompting for Few-Shot Named Entity Recognition via Semantic-Enhanced Contrastive Learning. IEEE Transactions on Neural Networks and Learning Systems 2024;35(12):18357 View

Books/Policy Documents

  1. Tolegen G, Toleu A, Mussabayev R. Computational Collective Intelligence. View