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

Artificial Intelligence (2127) Ontologies, Classifications, and Coding (324) Information Retrieval (348) Natural Language Processing (917) Precision Medicine and Genetics (80)

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 (25) 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
  16. He K, Mao R, Lin Q, Ruan Y, Lan X, Feng M, Cambria E. A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics. Information Fusion 2025;118:102963 View
  17. Wu J, He K, Mao R, Shang X, Cambria E. Harnessing the potential of multimodal EHR data: A comprehensive survey of clinical predictive modeling for intelligent healthcare. Information Fusion 2025;123:103283 View
  18. Mayer J, Delgoffe B, Hebbring S. Identifying family structures from obituaries and matching them to patients in an electronic heath record. Journal of the American Medical Informatics Association 2025;32(9):1407 View
  19. Al-Garadi M, LeNoue-Newton M, Matheny M, McPheeters M, Whitaker J, Deere J, McLemore M, Westerman D, Khan M, Hernández-Muñoz J, Wang X, Kuzucan A, Desai R, Reeves R. Automated Extraction of Mortality Information From Publicly Available Sources Using Large Language Models: Development and Evaluation Study. Journal of Medical Internet Research 2025;27:e71113 View
  20. Huang H, Gong T, He K, Wu J, Cambria E, Feng M. Robust multimodal sentiment analysis via double information bottleneck. Information Fusion 2026;129:103964 View

Books/Policy Documents

  1. Tolegen G, Toleu A, Mussabayev R. Computational Collective Intelligence. View
  2. Duan Z, Xiao S, Chen J, Zhao S, Zhang Y. Rough Sets. View

Conference Proceedings

  1. He K, Mao B, Zhou X, Li Y, Gong T, Li C, Wu J. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Knowledge Enhanced Coreference Resolution via Gated Attention View
  2. Wang D, Li R, Wang J, Li Z. 2022 3rd International Conference on Control, Robotics and Intelligent System. Chinese Drug Information Named Entity Recognition Based on MSCNN And BERT-BiLSTM-CRF View
  3. Gao Z, Mao A, Wu J, Li Y, Wang C, Ding C, Gong T, Li C. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Uncertainty-based Model Acceleration for Cancer Classification in Whole-Slide Images View