{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,6,15]],"date-time":"2024-06-15T12:10:15Z","timestamp":1718453415329},"reference-count":32,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. & Syst."],"published-print":{"date-parts":[[2016]]},"DOI":"10.1587\/transinf.2015dap0009","type":"journal-article","created":{"date-parts":[[2016,3,31]],"date-time":"2016-03-31T22:20:45Z","timestamp":1459462845000},"page":"927-935","source":"Crossref","is-referenced-by-count":0,"title":["Modeling Joint Representation with Tri-Modal Deep Belief Networks for Query and Question Matching"],"prefix":"10.1587","volume":"E99.D","author":[{"given":"Nan","family":"JIANG","sequence":"first","affiliation":[{"name":"State Key Laboratory of Software Development Environment, Beihang University"},{"name":"School of Computer Science and Engineering, Beihang University"}]},{"given":"Wenge","family":"RONG","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Software Development Environment, Beihang University"},{"name":"School of Computer Science and Engineering, Beihang University"}]},{"given":"Baolin","family":"PENG","sequence":"additional","affiliation":[{"name":"Department of System Engineering and Engineering Management, The Chinese University of Hong Kong"}]},{"given":"Yifan","family":"NIE","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Operations Research, Universit\u00e9 de Montr\u00e9al"}]},{"given":"Zhang","family":"XIONG","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Software Development Environment, Beihang University"},{"name":"School of Computer Science and Engineering, Beihang University"}]}],"member":"532","reference":[{"key":"1","unstructured":"[1] Y. Wu, Q. Zhang, and X. Huang, \u201cEfficient near-duplicate detection for q&a forum,\u201d Proceedings of 5th International Joint Conference on Natural Language Processing, pp.1001-1009, 2011."},{"key":"2","doi-asserted-by":"crossref","unstructured":"[2] M.W. Bilotti, J.L. Elsas, J.G. Carbonell, and E. Nyberg, \u201cRank learning for factoid question answering with linguistic and semantic constraints,\u201d Proceedings of 19th ACM Conference on Information and Knowledge Management, pp.459-468, 2010.","DOI":"10.1145\/1871437.1871498"},{"key":"3","unstructured":"[3] S. Zhao, H. Wang, C. Li, T. Liu, and Y. Guan, \u201cAutomatically generating questions from queries for community-based question answering,\u201d Proceedings of 5th International Joint Conference on Natural Language Processing, pp.929-937, 2011."},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] Y. Liu, S. Li, Y. Cao, C.-Y. Lin, D. Han, and Y. Yu, \u201cUnderstanding and summarizing answers in community-based question answering services,\u201d Proceedings of 22nd International Conference on Computational Linguistics, pp.497-504, 2008.","DOI":"10.3115\/1599081.1599144"},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] M.W. Bilotti, P. Ogilvie, J. Callan, and E. Nyberg, \u201cStructured retrieval for question answering,\u201d Proceedings of 30th Annual International ACM Conference on Research and Development in Information Retrieval, pp.351-358, 2007.","DOI":"10.1145\/1277741.1277802"},{"key":"6","unstructured":"[6] R. Socher, J. Pennington, E.H. Huang, A.Y. Ng, and C.D. Manning, \u201cSemi-supervised recursive autoencoders for predicting sentiment distributions,\u201d Proceedings of 2011 Conference on Empirical Methods in Natural Language Processing, pp.151-161, 2011."},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] T.K. Landauer and S.T. Dumais, \u201cLatent semantic analysis,\u201d Scholarpedia, vol.3, no.11, p.4356, 2008.","DOI":"10.4249\/scholarpedia.4356"},{"key":"8","unstructured":"[8] T. Hofmann, \u201cProbabilistic latent semantic analysis,\u201d CoRR, vol.abs\/1301.6705, 2013."},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] D.M. Blei, A.Y. Ng, and M.I. Jordan, \u201cLatent dirichlet allocation,\u201d Proceedings of Advances in Neural Information Processing Systems 14, pp.601-608, 2001.","DOI":"10.7551\/mitpress\/1120.003.0082"},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] R. Salakhutdinov and G. Hinton, \u201cSemantic hashing,\u201d International Journal of Approximate Reasoning, vol.50, no.7, pp.969-978, 2009.","DOI":"10.1016\/j.ijar.2008.11.006"},{"key":"11","unstructured":"[11] H. Ma, M.R. Lyu, and I. King, \u201cDiversifying query suggestion results,\u201d Proceedings of the 24th AAAI Conference on Artificial Intelligence, pp.1399-1404, 2010."},{"key":"12","doi-asserted-by":"crossref","unstructured":"[12] P.-A. Chirita, C.S. Firan, and W. Nejdl, \u201cPersonalized query expansion for the web,\u201d Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, pp.7-14, ACM, 2007.","DOI":"10.1145\/1277741.1277746"},{"key":"13","doi-asserted-by":"crossref","unstructured":"[13] M. Surdeanu, M. Ciaramita, and H. Zaragoza, \u201cLearning to rank answers to non-factoid questions from web collections,\u201d Computational Linguistics, vol.37, no.2, pp.351-383, 2011.","DOI":"10.1162\/COLI_a_00051"},{"key":"14","unstructured":"[14] Z. Zheng, X. Si, E.Y. Chang, and X. Zhu, \u201cK2q: Generating natural language questions from keywords with user refinements,\u201d Proceedings of 5th International Joint Conference on Natural Language Processing, pp.947-955, 2011."},{"key":"15","unstructured":"[15] A. Figueroa and G. Neumann, \u201cLearning to rank effective paraphrases from query logs for community question answering,\u201d Proceedings of 27th AAAI Conference on Artificial Intelligence, pp.1099-1105, 2013."},{"key":"16","doi-asserted-by":"crossref","unstructured":"[16] H. Yu, J. Kim, Y. Kim, S. Hwang, and Y.H. Lee, \u201cAn efficient method for learning nonlinear ranking svm functions,\u201d Information Sciences, vol.209, pp.37-48, 2012.","DOI":"10.1016\/j.ins.2012.03.022"},{"key":"17","doi-asserted-by":"crossref","unstructured":"[17] Y. Bengio, \u201cLearning deep architectures for ai,\u201d Foundations and Trends in Machine Learning, vol.2, no.1, pp.1-127, 2009.","DOI":"10.1561\/2200000006"},{"key":"18","unstructured":"[18] R. Collobert, J. Weston, L. Bottou, M. Karlen, K. Kavukcuoglu, and P.P. Kuksa, \u201cNatural language processing (almost) from scratch,\u201d Journal of Machine Learning Research, vol.12, pp.2493-2537, 2011."},{"key":"19","unstructured":"[19] P.-S. Huang, X. He, J. Gao, L. Deng, A. Acero, and L. Heck, \u201cLearning deep structured semantic models for web search using clickthrough data,\u201d Proceedings of 22nd ACM International Conference on Information and Knowledge Management, pp.2333-2338, 2013."},{"key":"20","unstructured":"[20] P. Vincent, H. Larochelle, I. Lajoie, Y. Bengio, and P.A. Manzagol, \u201cStacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion,\u201d Journal of Machine Learning Research, vol.11, pp.3371-3408, 2010."},{"key":"21","doi-asserted-by":"crossref","unstructured":"[21] G.E. Hinton, S. Osindero, and Y.-W. Teh, \u201cA fast learning algorithm for deep belief nets,\u201d Neural Computation, vol.18, no.7, pp.1527-1554, 2006.","DOI":"10.1162\/neco.2006.18.7.1527"},{"key":"22","unstructured":"[22] I.J. Goodfellow, A.C. Courville, and Y. Bengio, \u201cJoint training of deep boltzmann machines,\u201d CoRR, vol.abs\/1212.2686, 2012."},{"key":"23","doi-asserted-by":"crossref","unstructured":"[23] K.H. Cho, T. Raiko, and A. Ilin, \u201cGaussian-bernoulli deep boltzmann machine,\u201d Proceedings of 2013 International Joint Conference on Neural Networks, pp.1-7, 2013.","DOI":"10.1109\/IJCNN.2013.6706831"},{"key":"24","unstructured":"[24] R. Salakhutdinov and G.E. Hinton, \u201cReplicated softmax: an undirected topic model,\u201d Proceedings of 23rd Annual Conference on Neural Information Processing Systems, pp.1607-1614, 2009."},{"key":"25","doi-asserted-by":"crossref","unstructured":"[25] A. Fischer and C. Igel, \u201cTraining restricted boltzmann machines: An introduction,\u201d Pattern Recognition, vol.47, no.1, pp.25-39, 2014.","DOI":"10.1016\/j.patcog.2013.05.025"},{"key":"26","unstructured":"[26] A. Fischer and C. Igel, \u201cAn introduction to restricted boltzmann machines,\u201d Proceedings of 17th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, vol.7441, pp.14-36, 2012."},{"key":"27","doi-asserted-by":"crossref","unstructured":"[27] J.J. Hopfield, \u201cNeural networks and physical systems with emergent collective computational abilities,\u201d Proceedings of the national academy of sciences, vol.79, no.8, pp.2554-2558, 1982.","DOI":"10.1073\/pnas.79.8.2554"},{"key":"28","doi-asserted-by":"crossref","unstructured":"[28] G.E. Hinton, \u201cA practical guide to training restricted boltzmann machines,\u201d Neural Networks: Tricks of the Trade (2nd ed.), pp.599-619, 2012.","DOI":"10.1007\/978-3-642-35289-8_32"},{"key":"29","unstructured":"[29] G. Zhou, L. Cai, J. Zhao, and K. Liu, \u201cPhrase-based translation model for question retrieval in community question answer archives,\u201d Proceedings of 49th Annual Meeting of the Association for Computational Linguistics, pp.653-662, 2011."},{"key":"30","doi-asserted-by":"crossref","unstructured":"[30] G.E. Box and M.E. Muller, \u201cA note on the generation of random normal deviates,\u201d The Annals of Mathematical Statistics, vol.29, no.2, pp.610-611, 1958.","DOI":"10.1214\/aoms\/1177706645"},{"key":"31","doi-asserted-by":"crossref","unstructured":"[31] G.E. Hinton, \u201cTraining products of experts by minimizing contrastive divergence,\u201d Neural Computation, vol.14, no.8, pp.1771-1800, 2002.","DOI":"10.1162\/089976602760128018"},{"key":"32","unstructured":"[32] R.E. Fan, K.W. Chang, C.J. Hsieh, X.R. Wang, and C.J. Lin, \u201cLiblinear: A library for large linear classification,\u201d Journal of Machine Learning Research, vol.9, pp.1871-1874, 2008."}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E99.D\/4\/E99.D_2015DAP0009\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,15]],"date-time":"2024-06-15T11:47:16Z","timestamp":1718452036000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E99.D\/4\/E99.D_2015DAP0009\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"references-count":32,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2016]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2015dap0009","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]}}}