Enhancing semantic question similarity in Arabic using hybrid models and knowledge graph alignment

Ammar Al-Edhari, Mohsen Kahani

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DOI: 10.7717/peerj-cs.3988
Published: 2026-07-20
Container: PeerJ Computer Science
Publisher: PeerJ
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.7717/peerj-cs.3988,
  title = {Enhancing semantic question similarity in Arabic using hybrid models and knowledge graph alignment},
  author = {Ammar Al-Edhari and Mohsen Kahani},
  year = {2026},
  journal = {PeerJ Computer Science},
  doi = {10.7717/peerj-cs.3988},
  url = {https://doi.org/10.7717/peerj-cs.3988}
}

RIS

TY  - JOUR
TI  - Enhancing semantic question similarity in Arabic using hybrid models and knowledge graph alignment
AU  - Ammar Al-Edhari
AU  - Mohsen Kahani
PY  - 2026
JO  - PeerJ Computer Science
DO  - 10.7717/peerj-cs.3988
UR  - https://doi.org/10.7717/peerj-cs.3988
ER  -

APA

Al-Edhari, A., & Kahani, M. (2026). Enhancing semantic question similarity in Arabic using hybrid models and knowledge graph alignment. PeerJ Computer Science. https://doi.org/10.7717/peerj-cs.3988

Source records

crossref · retrieved 2026-09-25T09:19:12.028Z