QCRI: Answer selection for community question answering - Experiment for Arabic and English

QCRI: Answer selection for community question answering - Experiment for Arabic and English

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 oth...

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Bibliographic Details
Main Authors: NICOSIA, Massimo, FILICE, Simone, BARRON-CEDENO, Alberto, SALEH, Iman, MUBARAK, Hamdy, GAO, Wei, NAKOV, Preslav, MARTINO, Giovanni Da San, MOSCHITTI, Alessandro, DARWISH, Kareem, MARQUZ, Lluis Marquz, JOTY, Shafiq, MAGDY, Walid Magdy
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2015
Subjects:
Databases and Information Systems
Online Access:https://ink.library.smu.edu.sg/sis_research/4579
https://ink.library.smu.edu.sg/context/sis_research/article/5582/viewcontent/S15_2036.pdf
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Institution: Singapore Management University
Language: English
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Summary: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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