Atıf Formatları
A Business Workflow For Providing Open-Domain Question Answering Reader Systems on The Wikipedia Dataset
  • IEEE
  • ACM
  • APA
  • Chicago
  • MLA
  • Harvard
  • BibTeX

D. Bakır And M. S. AKTAŞ, "A Business Workflow For Providing Open-Domain Question Answering Reader Systems on The Wikipedia Dataset," 2022 IEEE International Conference on Big Data , Japan, 2022

Bakır, D. And AKTAŞ, M. S. 2022. A Business Workflow For Providing Open-Domain Question Answering Reader Systems on The Wikipedia Dataset. 2022 IEEE International Conference on Big Data , (Japan).

Bakır, D., & AKTAŞ, M. S., (2022). A Business Workflow For Providing Open-Domain Question Answering Reader Systems on The Wikipedia Dataset . 2022 IEEE International Conference on Big Data, Japan

Bakır, Dilan, And Mehmet Sıddık AKTAŞ. "A Business Workflow For Providing Open-Domain Question Answering Reader Systems on The Wikipedia Dataset," 2022 IEEE International Conference on Big Data, Japan, 2022

Bakır, Dilan And AKTAŞ, Mehmet S. . "A Business Workflow For Providing Open-Domain Question Answering Reader Systems on The Wikipedia Dataset." 2022 IEEE International Conference on Big Data , Japan, 2022

Bakır, D. And AKTAŞ, M. S. (2022) . "A Business Workflow For Providing Open-Domain Question Answering Reader Systems on The Wikipedia Dataset." 2022 IEEE International Conference on Big Data , Japan.

@conferencepaper{conferencepaper, author={Dilan Bakır And author={Mehmet Sıddık AKTAŞ}, title={A Business Workflow For Providing Open-Domain Question Answering Reader Systems on The Wikipedia Dataset}, congress name={2022 IEEE International Conference on Big Data}, city={}, country={Japan}, year={2022}}