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

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Title:	UPC-USMBA at SemEval-2017 Task 3: Combining multiple approaches for CQA for Arabic
Author:	El Adlouni, Yassine; Lahbari, Imane; Rodríguez Hontoria, Horacio; Meknassi, Mohammed; El Alaoui, Said Ouatik; Ennahnahi, Noureddine
Other authors:	Universitat Politècnica de Catalunya. Departament de Ciències de la Computació; Universitat Politècnica de Catalunya. GPLN - Grup de Processament del Llenguatge Natural
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 performance of a set of atomic classifiers (lexical string-based, vectorial, and rule-based) whose results are later combined. Our primary submission has obtained good results: 2nd (from 3 participants) in MAP, and 1st in inaccuracy.
Abstract:	Peer Reviewed
Subject(s):	-Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Llenguatge natural -Arabic language -- Interrogative -Computational linguistics -Àrab -- Interrogació -Lingüística computacional
Rights:	Attribution 3.0 Spain http://creativecommons.org/licenses/by/3.0/es/
Document type:	Article - Published version Conference Object
Published by:	Association for Computational Linguistics
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