Corpus ID: 7543315

Addressing Community Question Answering in English and Arabic

  title={Addressing Community Question Answering in English and Arabic},
  author={Giovanni Da San Martino and A. Barr{\'o}n-Cede{\~n}o and Salvatore Romeo and Alessandro Moschitti and Shafiq R. Joty and F. Al-Obaidli and K. Tymoshenko and Antonio Uva},
  • Giovanni Da San Martino, A. Barrón-Cedeño, +5 authors Antonio Uva
  • Published 2016
  • Computer Science
  • ArXiv
  • This paper studies the impact of different types of features applied to learning to re-rank questions in community Question Answering. We tested our models on two datasets released in SemEval-2016 Task 3 on "Community Question Answering". Task 3 targeted real-life Web fora both in English and Arabic. Our models include bag-of-words features (BoW), syntactic tree kernels (TKs), rank features, embeddings, and machine translation evaluation features. To the best of our knowledge, structural… CONTINUE READING
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