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
- 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)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-1/S17-2044.pdf