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• W2251506003 abstract "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." @default.
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• W2251506003 date "2015-01-01" @default.
• W2251506003 modified "2023-09-23" @default.
• W2251506003 title "QCRI: Answer Selection for Community Question Answering - Experiments for Arabic and English" @default.
• W2251506003 cites W1494404649 @default.
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• W2251506003 doi "https://doi.org/10.18653/v1/s15-2036" @default.
• W2251506003 hasPublicationYear "2015" @default.
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