Ghavidel-Rajabi at MultiPRIDE: Identity, Toxicity, or Complexity? A Language-Specific Feature Selection Approach to Reclamatory Intent Detection

Houman Rajabi, Fatemeh Ghavidel, Kourosh Ghahremani


Anthology ID:
2026.evalita-1.23
Volume:
Proceedings of the Ninth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2026)
Month:
February
Year:
2026
Address:
Bari, Italy
Editors:
Francesco Cutugno, Alessio Miaschi, Alessio Palmero Aprosio, Giulia Rambelli, Lucia Siciliani, Marco Antonio Stranisci
Venues:
EVALITA | WS
SIG:
Publisher:
CEUR Workshop Proceedings
Note:
Pages:
251–261
Language:
URL:
https://aclanthology.org/2026.evalita-1.23/
DOI:
Bibkey:
Cite (ACL):
Houman Rajabi, Fatemeh Ghavidel, and Kourosh Ghahremani. 2026. Ghavidel-Rajabi at MultiPRIDE: Identity, Toxicity, or Complexity? A Language-Specific Feature Selection Approach to Reclamatory Intent Detection. In Proceedings of the Ninth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2026), pages 251–261, Bari, Italy. CEUR Workshop Proceedings.
Cite (Informal):
Ghavidel-Rajabi at MultiPRIDE: Identity, Toxicity, or Complexity? A Language-Specific Feature Selection Approach to Reclamatory Intent Detection (Rajabi et al., EVALITA 2026)
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PDF:
https://aclanthology.org/2026.evalita-1.23.pdf