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. 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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