Deep Learning-Based Named Entity Recognition System Using Hybrid Embedding

Article Properties
  • Language
    English
  • Publication Date
    2022/08/18
  • Indian UGC (journal)
  • Refrences
    49
  • Archana Goyal Goswami Ganesh Dutta Sanatan Dharma College, Chandigarh, India
  • Vishal Gupta University Institute of Engineering & Technology, Panjab University, Chandigarh, India
  • Manish Kumar Panjab University Regional Centre, Muktsar, Punjab, India
Cite
Goyal, Archana, et al. “Deep Learning-Based Named Entity Recognition System Using Hybrid Embedding”. Cybernetics and Systems, vol. 55, no. 2, 2022, pp. 279-01, https://doi.org/10.1080/01969722.2022.2111506.
Goyal, A., Gupta, V., & Kumar, M. (2022). Deep Learning-Based Named Entity Recognition System Using Hybrid Embedding. Cybernetics and Systems, 55(2), 279-301. https://doi.org/10.1080/01969722.2022.2111506
Goyal A, Gupta V, Kumar M. Deep Learning-Based Named Entity Recognition System Using Hybrid Embedding. Cybernetics and Systems. 2022;55(2):279-301.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Technology
Engineering (General)
Civil engineering (General)
Technology
Mechanical engineering and machinery
Refrences
Title Journal Journal Categories Citations Publication Date
Optimising chemical named entity recognition with pre-processing analytics, knowledge-rich features, and heuristics Journal of Cheminformatics
  • Technology: Technology (General): Industrial engineering. Management engineering: Information technology
  • Science: Chemistry
  • Science: Chemistry: General. Including alchemy
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Chemistry
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2015
Named entity recognition for Punjabi language text summarization International Journal of Computers and Applications 2011
Towards deep learning in hindiner: An approach to tackle the labelled data scarcity 2016
Proceedings of the 26th International Conference on Neural Information Processing Systems - 2013
SSF: Shakti standard format guide 2007