{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T10:51:04Z","timestamp":1761648664020,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":35,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,5,13]],"date-time":"2019-05-13T00:00:00Z","timestamp":1557705600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,5,13]]},"DOI":"10.1145\/3308558.3313518","type":"proceedings-article","created":{"date-parts":[[2019,5,13]],"date-time":"2019-05-13T12:17:59Z","timestamp":1557749879000},"page":"3384-3390","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Focusing Attention Network for Answer Ranking"],"prefix":"10.1145","author":[{"given":"Yufei","family":"Xie","sequence":"first","affiliation":[{"name":"Qiniu AtLab Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuchun","family":"Liu","sequence":"additional","affiliation":[{"name":"Qiniu AtLab Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tangren","family":"Yao","sequence":"additional","affiliation":[{"name":"Qiniu AtLab Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yao","family":"Peng","sequence":"additional","affiliation":[{"name":"Qiniu AtLab Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhao","family":"Lu","sequence":"additional","affiliation":[{"name":"East China Normal University Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,5,13]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"525","volume-title":"Proceedings of SemEval(2016)","author":"LluisMarquez AlessandroMoschitti PreslavNakov","year":"2016","unstructured":"PreslavNakov LluisMarquez AlessandroMoschitti , WalidMagdy HamdyMubarak AbedAlhakimFreihat, James Glass , and Bilal Randeree . 2016 . SemEval-2016 Task 3: Community Question Answering . Proceedings of SemEval(2016) , 525 - 545 . PreslavNakov LluisMarquez AlessandroMoschitti, WalidMagdy HamdyMubarak AbedAlhakimFreihat, James Glass, and Bilal Randeree. 2016. SemEval-2016 Task 3: Community Question Answering. Proceedings of SemEval(2016), 525-545."},{"key":"e_1_3_2_1_2_1","unstructured":"Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473(2014).  Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473(2014)."},{"key":"e_1_3_2_1_3_1","first-page":"687","article-title":"Thread-Level Information for Comment Classification in Community Question Answering.. In ACL (2)","author":"Barr\u00f3n-Cedeno Alberto","year":"2015","unstructured":"Alberto Barr\u00f3n-Cedeno , Simone Filice , Giovanni Da San Martino , Shafiq R Joty , Llu\u00eds M\u00e0rquez , Preslav Nakov , and Alessandro Moschitti . 2015 . Thread-Level Information for Comment Classification in Community Question Answering.. In ACL (2) . Citeseer , 687 - 693 . Alberto Barr\u00f3n-Cedeno, Simone Filice, Giovanni Da San Martino, Shafiq R Joty, Llu\u00eds M\u00e0rquez, Preslav Nakov, and Alessandro Moschitti. 2015. Thread-Level Information for Comment Classification in Community Question Answering.. In ACL (2). Citeseer, 687-693.","journal-title":"Citeseer"},{"volume-title":"Coling 2008: Proceedings of the workshop on Cross-Framework and Cross-Domain Parser Evaluation","author":"De Marneffe Marie-Catherine","key":"e_1_3_2_1_4_1","unstructured":"Marie-Catherine De Marneffe and Christopher D Manning . 2008. The Stanford typed dependencies representation . In Coling 2008: Proceedings of the workshop on Cross-Framework and Cross-Domain Parser Evaluation . Association for Computational Linguistics , 1-8. Marie-Catherine De Marneffe and Christopher D Manning. 2008. The Stanford typed dependencies representation. In Coling 2008: Proceedings of the workshop on Cross-Framework and Cross-Domain Parser Evaluation. Association for Computational Linguistics, 1-8."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Wenzheng Feng Yu Wu Wei Wu Zhoujun Li and Ming Zhou. {n. d.}. Beihang-MSRA at SemEval-2017 Task 3: A Ranking System with Neural Matching Features for Community Question Answering. ({n. d.}).  Wenzheng Feng Yu Wu Wei Wu Zhoujun Li and Ming Zhou. {n. d.}. Beihang-MSRA at SemEval-2017 Task 3: A Ranking System with Neural Matching Features for Community Question Answering. ({n. d.}).","DOI":"10.18653\/v1\/S17-2045"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.01.041"},{"key":"e_1_3_2_1_7_1","first-page":"1116","article-title":"KeLP at SemEval-2016 Task 3: Learning semantic relations between questions and answers","volume":"16","author":"Filice Simone","year":"2016","unstructured":"Simone Filice , Danilo Croce , Alessandro Moschitti , and Roberto Basili . 2016 . KeLP at SemEval-2016 Task 3: Learning semantic relations between questions and answers . Proceedings of SemEval 16 (2016), 1116 - 1123 . Simone Filice, Danilo Croce, Alessandro Moschitti, and Roberto Basili. 2016. KeLP at SemEval-2016 Task 3: Learning semantic relations between questions and answers. Proceedings of SemEval 16 (2016), 1116-1123.","journal-title":"Proceedings of SemEval"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S17-2053"},{"key":"e_1_3_2_1_9_1","first-page":"2265","article-title":"Euclidean embedding of co-occurrence data","author":"Globerson Amir","year":"2007","unstructured":"Amir Globerson , Gal Chechik , Fernando Pereira , and Naftali Tishby . 2007 . Euclidean embedding of co-occurrence data . Journal of Machine Learning Research 8 , Oct (2007), 2265 - 2295 . Amir Globerson, Gal Chechik, Fernando Pereira, and Naftali Tishby. 2007. Euclidean embedding of co-occurrence data. Journal of Machine Learning Research 8, Oct (2007), 2265-2295.","journal-title":"Journal of Machine Learning Research 8"},{"key":"e_1_3_2_1_10_1","first-page":"896","volume-title":"Proceedings of SemEval(2016)","author":"Joty Shafiq","year":"2016","unstructured":"Shafiq Joty , Alessandro Moschitti , Fahad A Al Obaidli , Salvatore Romeo , Kateryna Tymoshenko , and Antonio Uva . 2016 . ConvKN at SemEval-2016 Task 3: Answer and question selection for question answering on Arabic and English fora . Proceedings of SemEval(2016) , 896 - 903 . Shafiq Joty, Alessandro Moschitti, Fahad A Al Obaidli, Salvatore Romeo, Kateryna Tymoshenko, and Antonio Uva. 2016. ConvKN at SemEval-2016 Task 3: Answer and question selection for question answering on Arabic and English fora. Proceedings of SemEval(2016), 896-903."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7953075"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S17-2058"},{"key":"e_1_3_2_1_13_1","unstructured":"Re\u00b4mi Lebret and Ronan Collobert. 2013. Word emdeddings through hellinger PCA. arXiv preprint arXiv:1312.5542(2013).  Re\u00b4mi Lebret and Ronan Collobert. 2013. Word emdeddings through hellinger PCA. arXiv preprint arXiv:1312.5542(2013)."},{"key":"e_1_3_2_1_14_1","unstructured":"Omer Levy and Yoav Goldberg. 2014. Neural word embedding as implicit matrix factorization. In Advances in neural information processing systems. 2177-2185.   Omer Levy and Yoav Goldberg. 2014. Neural word embedding as implicit matrix factorization. In Advances in neural information processing systems. 2177-2185."},{"key":"e_1_3_2_1_15_1","first-page":"3650","article-title":"Word Embedding Revisited: A New Representation Learning and Explicit Matrix Factorization Perspective","author":"Li Yitan","year":"2015","unstructured":"Yitan Li , Linli Xu , Fei Tian , Liang Jiang , Xiaowei Zhong , and Enhong Chen . 2015 . Word Embedding Revisited: A New Representation Learning and Explicit Matrix Factorization Perspective .. In IJCAI. 3650 - 3656 . Yitan Li, Linli Xu, Fei Tian, Liang Jiang, Xiaowei Zhong, and Enhong Chen. 2015. Word Embedding Revisited: A New Representation Learning and Explicit Matrix Factorization Perspective.. In IJCAI. 3650-3656.","journal-title":"IJCAI."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S16-1136"},{"key":"e_1_3_2_1_17_1","unstructured":"Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems. 3111-3119.   Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems. 3111-3119."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S17-2003"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S16-1083"},{"key":"e_1_3_2_1_20_1","first-page":"1305","article-title":"Convolutional Neural Tensor Network Architecture for Community-Based Question Answering","author":"Qiu Xipeng","year":"2015","unstructured":"Xipeng Qiu and Xuanjing Huang . 2015 . Convolutional Neural Tensor Network Architecture for Community-Based Question Answering .. In IJCAI. 1305 - 1311 . Xipeng Qiu and Xuanjing Huang. 2015. Convolutional Neural Tensor Network Architecture for Community-Based Question Answering.. In IJCAI. 1305-1311.","journal-title":"IJCAI."},{"key":"e_1_3_2_1_21_1","volume-title":"In Proceedings of the LREC 2010 Workshop on New Challenges for NLP Frameworks. Citeseer.","author":"Rehurek Radim","year":"2010","unstructured":"Radim Rehurek and Petr Sojka . 2010 . Software framework for topic modelling with large corpora . In In Proceedings of the LREC 2010 Workshop on New Challenges for NLP Frameworks. Citeseer. Radim Rehurek and Petr Sojka. 2010. Software framework for topic modelling with large corpora. In In Proceedings of the LREC 2010 Workshop on New Challenges for NLP Frameworks. Citeseer."},{"key":"e_1_3_2_1_22_1","volume-title":"Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing. 458-467","author":"Severyn Aliaksei","year":"2013","unstructured":"Aliaksei Severyn and Alessandro Moschitti . 2013 . Automatic feature engineering for answer selection and extraction . In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing. 458-467 . Aliaksei Severyn and Alessandro Moschitti. 2013. Automatic feature engineering for answer selection and extraction. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing. 458-467."},{"key":"e_1_3_2_1_23_1","volume-title":"Acoustic scene classification using deep neural network and frame-concatenated acoustic feature. Detection and Classification of Acoustic Scenes and Events","author":"Takahashi Gen","year":"2016","unstructured":"Gen Takahashi , Takeshi Yamada , Shoji Makino , and Nobutaka Ono . 2016. Acoustic scene classification using deep neural network and frame-concatenated acoustic feature. Detection and Classification of Acoustic Scenes and Events ( 2016 ). Gen Takahashi, Takeshi Yamada, Shoji Makino, and Nobutaka Ono. 2016. Acoustic scene classification using deep neural network and frame-concatenated acoustic feature. Detection and Classification of Acoustic Scenes and Events (2016)."},{"key":"e_1_3_2_1_24_1","unstructured":"Ming Tan Cicero dos Santos Bing Xiang and Bowen Zhou. 2015. Lstm-based deep learning models for non-factoid answer selection. arXiv preprint arXiv:1511.04108(2015).  Ming Tan Cicero dos Santos Bing Xiang and Bowen Zhou. 2015. Lstm-based deep learning models for non-factoid answer selection. arXiv preprint arXiv:1511.04108(2015)."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S15-2038"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"crossref","unstructured":"Bingning Wang Kang Liu and Jun Zhao. 2016. Inner Attention based Recurrent Neural Networks for Answer Selection.. In ACL (1).  Bingning Wang Kang Liu and Jun Zhao. 2016. Inner Attention based Recurrent Neural Networks for Answer Selection.. In ACL (1).","DOI":"10.18653\/v1\/P16-1122"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-2116"},{"key":"e_1_3_2_1_28_1","volume-title":"Proceedings of the 23rd International Conference on Computational Linguistics. Association for Computational Linguistics, 1164-1172","author":"Wang Mengqiu","year":"2010","unstructured":"Mengqiu Wang and Christopher D Manning . 2010 . Probabilistic tree-edit models with structured latent variables for textual entailment and question answering . In Proceedings of the 23rd International Conference on Computational Linguistics. Association for Computational Linguistics, 1164-1172 . Mengqiu Wang and Christopher D Manning. 2010. Probabilistic tree-edit models with structured latent variables for textual entailment and question answering. In Proceedings of the 23rd International Conference on Computational Linguistics. Association for Computational Linguistics, 1164-1172."},{"key":"e_1_3_2_1_29_1","first-page":"365","volume-title":"Proceedings of the Workshop on Semantic Evaluation","volume":"17","author":"Guoshun Wu.","unstructured":"Guoshun Wu. {n. d.}. Yixuan Sheng adn Man Lan, and Yuanbin Wu. 2017a. ECNU at SemEval-2017 task 3: Using traditional and deep learning methods to address community question answering task . In Proceedings of the Workshop on Semantic Evaluation . Vancouver, Canada, SemEval , Vol. 17 . 365 - 369 . Guoshun Wu. {n. d.}. Yixuan Sheng adn Man Lan, and Yuanbin Wu. 2017a. ECNU at SemEval-2017 task 3: Using traditional and deep learning methods to address community question answering task. In Proceedings of the Workshop on Semantic Evaluation. Vancouver, Canada, SemEval, Vol. 17. 365-369."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S16-1135"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S17-2060"},{"key":"e_1_3_2_1_32_1","first-page":"281","volume-title":"Proceedings of the 11th International Workshop on Semantic Evaluation","volume":"17","author":"Wu Yu","year":"2017","unstructured":"Yu Wu , WenZheng Feng , Wei Wu , Ming Zhou , and Zhoujun Li . 2017 . Beihang-MSRA at SemEval-2017 task 3: A ranking system with neural matching features for Community Question Answering . In Proceedings of the 11th International Workshop on Semantic Evaluation . Vancouver, Canada, SemEval , Vol. 17 . 281 - 287 . Yu Wu, WenZheng Feng, Wei Wu, Ming Zhou, and Zhoujun Li. 2017. Beihang-MSRA at SemEval-2017 task 3: A ranking system with neural matching features for Community Question Answering. In Proceedings of the 11th International Workshop on Semantic Evaluation. Vancouver, Canada, SemEval, Vol. 17. 281-287."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.5555\/3298483.3298686"},{"key":"e_1_3_2_1_34_1","unstructured":"Scott Wen-tau Yih Ming-Wei Chang Chris Meek and Andrzej Pastusiak. 2013. Question answering using enhanced lexical semantic models. (2013).  Scott Wen-tau Yih Ming-Wei Chang Chris Meek and Andrzej Pastusiak. 2013. Question answering using enhanced lexical semantic models. (2013)."},{"key":"e_1_3_2_1_35_1","unstructured":"Naiyun Zhou Andrey Fedorov Fiona Fennessy Ron Kikinis and Yi Gao. 2017. Large scale digital prostate pathology image analysis combining feature extraction and deep neural network. arXiv preprint arXiv:1705.02678(2017).  Naiyun Zhou Andrey Fedorov Fiona Fennessy Ron Kikinis and Yi Gao. 2017. Large scale digital prostate pathology image analysis combining feature extraction and deep neural network. arXiv preprint arXiv:1705.02678(2017)."}],"event":{"name":"WWW '19: The Web Conference","sponsor":["IW3C2 International World Wide Web Conference Committee"],"location":"San Francisco CA USA","acronym":"WWW '19"},"container-title":["The World Wide Web Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3308558.3313518","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3308558.3313518","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:53:20Z","timestamp":1750204400000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3308558.3313518"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5,13]]},"references-count":35,"alternative-id":["10.1145\/3308558.3313518","10.1145\/3308558"],"URL":"https:\/\/doi.org\/10.1145\/3308558.3313518","relation":{},"subject":[],"published":{"date-parts":[[2019,5,13]]},"assertion":[{"value":"2019-05-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}