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HITSZ-ICRC: Exploiting classification approach for answer selection in community question answering
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Al-Bayan: A knowledge-based system for Arabic answer selection
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Reham Mohamed, Maha Ragab, Heba Abdelnasser, Nagwa M. El-Makky, and Marwan Torki. 2015. Al-Bayan: A knowledge-based system for Arabic answer selection. In Proceedings of the 9th International Workshop on Semantic Evaluation, SemEval'15, Denver, Colorado, USA.
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QCRI: Answer selection for community question answering - experiments for Arabic and English
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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, and Walid Magdy. 2015. QCRI: Answer selection for community question answering - experiments for Arabic and English. In Proceedings of the 9th International Workshop on Semantic Evaluation, SemEval'15, Denver, Colorado, USA.
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Structural relationships for large-scale learning of answer re-ranking
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Aliaksei Severyn and Alessandro Moschitti. 2012. Structural relationships for large-scale learning of answer re-ranking. In Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'12, pages 741-750, Portland, Oregon, USA.
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Automatic feature engineering for answer selection and extraction
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Learning to rank answers on large online QA collections
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JAIST: Combining multiple features for answer selection in community question answering
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Answer extraction as sequence tagging with tree edit distance
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ECNU: Using multiple sources of CQA-based information for answers selection and YES/NO response inference
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Voltron: A hybrid system for answer validation based on lexical and distance features
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Denver, Colorado, USA
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Ivan Zamanov, Marina Kraeva, Nelly Hateva, Ivana Yovcheva, Ivelina Nikolova, and Galia Angelova. 2015. Voltron: A hybrid system for answer validation based on lexical and distance features. In Proceedings of the 9th International Workshop on Semantic Evaluation, SemEval'15, Denver, Colorado, USA.
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ICRC-HIT: A deep learning based comment sequence labeling system for answer selection challenge
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