QCRI: Answer Selection for Community Question Answering - Experiments for Arabic and English

نویسندگان

  • Massimo Nicosia
  • Simone Filice
  • Alberto Barrón-Cedeño
  • Iman Saleh
  • Hamdy Mubarak
  • Wei Gao
  • Preslav Nakov
  • Giovanni Da San Martino
  • Alessandro Moschitti
  • Kareem Darwish
  • Lluís Màrquez i Villodre
  • Shafiq R. Joty
  • Walid Magdy
چکیده

This paper describes QCRI’s participation in SemEval-2015 Task 3 “Answer Selection in Community Question Answering”, which targeted real-life Web forums, and was offered in both Arabic and English. We apply a supervised machine learning approach considering a manifold of features including among others word n-grams, text similarity, sentiment analysis, the presence of specific words, and the context of a comment. Our approach was the best performing one in the Arabic subtask and the third best in the two English subtasks.

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تاریخ انتشار 2015