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January 1, 201557 citationsOpen Access

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

MNMassimo NicosiaSFSimone FiliceABAlberto Barrón‐Cedeño

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Abstract

This paper describes QCRI’s participation in SemEval-2015 Task 3 “Answer Selection in Community Question Answering”, which tar-geted real-life Web forums, and was offered in both Arabic and English. We apply a super-vised machine learning approach considering a manifold of features including among others word n-grams, text similarity, sentiment anal-ysis, 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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Cite This Study

Nicosia et al. (2015) studied this question.

synapsesocial.com/papers/6a0f2d7414089a5783bdcda4https://doi.org/10.18653/v1/s15-2036
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