UPC-USMBA at SemEval-2017 Task 3: Combining multiple approaches for CQA for Arabic

Yassine El Adlouni, Imane Lahbari, Horacio Rodríguez, Mohammed Meknassi, Said Ouatik El Alaoui, Noureddine Ennahnahi


Abstract
This paper presents a description of the participation of the UPC-USMBA team in the SemEval 2017 Task 3, subtask D, Arabic. Our approach for facing the task is based on a combination of a set of atomic classifiers. The atomic classifiers include lexical string based, based on vectorial representations and rulebased. Several combination approaches have been tried.
Anthology ID:
S17-2044
Volume:
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
Month:
August
Year:
2017
Address:
Vancouver, Canada
Editors:
Steven Bethard, Marine Carpuat, Marianna Apidianaki, Saif M. Mohammad, Daniel Cer, David Jurgens
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
275–279
Language:
URL:
https://aclanthology.org/S17-2044
DOI:
10.18653/v1/S17-2044
Bibkey:
Cite (ACL):
Yassine El Adlouni, Imane Lahbari, Horacio Rodríguez, Mohammed Meknassi, Said Ouatik El Alaoui, and Noureddine Ennahnahi. 2017. UPC-USMBA at SemEval-2017 Task 3: Combining multiple approaches for CQA for Arabic. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pages 275–279, Vancouver, Canada. Association for Computational Linguistics.
Cite (Informal):
UPC-USMBA at SemEval-2017 Task 3: Combining multiple approaches for CQA for Arabic (El Adlouni et al., SemEval 2017)
Copy Citation:
PDF:
https://aclanthology.org/S17-2044.pdf