A Novel Neurofuzzy Approach for Semantic Similarity Measurement. Gil, J. M., Mokadem, R., Küng, J., & Hameurlain, A. In Golfarelli, M., Wrembel, R., Kotsis, G., Tjoa, A M., & Khalil, I., editors, Big Data Analytics and Knowledge Discovery - 23rd International Conference, DaWaK 2021, Virtual Event, September 27-30, 2021, Proceedings, volume 12925, of Lecture Notes in Computer Science, pages 192–203, 2021. Springer.
A Novel Neurofuzzy Approach for Semantic Similarity Measurement [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/dawak/GilMKH21,
  author       = {Jorge Mart{\'{\i}}nez Gil and
                  Riad Mokadem and
                  Josef K{\"{u}}ng and
                  Abdelkader Hameurlain},
  editor       = {Matteo Golfarelli and
                  Robert Wrembel and
                  Gabriele Kotsis and
                  A Min Tjoa and
                  Ismail Khalil},
  title        = {A Novel Neurofuzzy Approach for Semantic Similarity Measurement},
  booktitle    = {Big Data Analytics and Knowledge Discovery - 23rd International Conference,
                  DaWaK 2021, Virtual Event, September 27-30, 2021, Proceedings},
  series       = {Lecture Notes in Computer Science},
  volume       = {12925},
  pages        = {192--203},
  publisher    = {Springer},
  year         = {2021},
  url          = {https://doi.org/10.1007/978-3-030-86534-4\_18},
  doi          = {10.1007/978-3-030-86534-4\_18},
  timestamp    = {Sun, 06 Oct 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/dawak/GilMKH21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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