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

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, Shafiq Joty, Walid Magdy

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

47 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationSemEval 2015 - 9th International Workshop on Semantic Evaluation, co-located with the 2015 Conference of the North American Chapter of the Association for Computational Linguistics
Subtitle of host publicationHuman Language Technologies, NAACL-HLT 2015 - Proceedings
EditorsPreslav Nakov, Torsten Zesch, Daniel Cer, David Jurgens
PublisherAssociation for Computational Linguistics (ACL)
Pages203-209
Number of pages7
ISBN (Electronic)9781941643402
Publication statusPublished - 2015
Event9th International Workshop on Semantic Evaluation, SemEval 2015 - Denver, United States
Duration: 4 Jun 20155 Jun 2015

Publication series

NameSemEval 2015 - 9th International Workshop on Semantic Evaluation, co-located with the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2015 - Proceedings

Conference

Conference9th International Workshop on Semantic Evaluation, SemEval 2015
Country/TerritoryUnited States
CityDenver
Period4/06/155/06/15

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