{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T14:23:54Z","timestamp":1742999034965,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":25,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811322020"},{"type":"electronic","value":"9789811322037"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-981-13-2203-7_16","type":"book-chapter","created":{"date-parts":[[2018,9,8]],"date-time":"2018-09-08T10:33:22Z","timestamp":1536402802000},"page":"212-224","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Visual-Based Character Embedding via Principal Component Analysis"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0562-3026","authenticated-orcid":false,"given":"Linchao","family":"He","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9129-534X","authenticated-orcid":false,"given":"Dejun","family":"Zhang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2361-4545","authenticated-orcid":false,"given":"Long","family":"Tian","sequence":"additional","affiliation":[]},{"given":"Fei","family":"Han","sequence":"additional","affiliation":[]},{"given":"Mengting","family":"Luo","sequence":"additional","affiliation":[]},{"given":"Yilin","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Yiqi","family":"Wu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,9,9]]},"reference":[{"issue":"10","key":"16_CR1","first-page":"993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3(10), 993\u20131022 (2003)","journal-title":"J. Mach. Learn. Res."},{"key":"16_CR2","doi-asserted-by":"crossref","unstructured":"Dhingra, B., Zhou, Z., Fitzpatrick, D., Muehl, M., Cohen, W.W.: Tweet2vec: character-based distributed representations for social media, pp. 269\u2013274, May 2016","DOI":"10.18653\/v1\/P16-2044"},{"key":"16_CR3","doi-asserted-by":"crossref","unstructured":"Gillick, D., Brunk, C., Vinyals, O., Subramanya, A.: Multilingual language processing from bytes, November 2015","DOI":"10.18653\/v1\/N16-1155"},{"key":"16_CR4","series-title":"Synthese Language Library (Text and Studies in Linguistics and Philosophy)","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-94-009-8467-7_1","volume-title":"Papers on Syntax","author":"ZS Harris","year":"1981","unstructured":"Harris, Z.S.: Distributional structure. In: Hi\u017c, H. (ed.) Papers on Syntax. SLAP, vol. 14, pp. 3\u201322. Springer, Dordrecht (1981). https:\/\/doi.org\/10.1007\/978-94-009-8467-7_1"},{"issue":"8","key":"16_CR5","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"issue":"3","key":"16_CR6","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1109\/MCSE.2007.55","volume":"9","author":"JD Hunter","year":"2007","unstructured":"Hunter, J.D.: Matplotlib: a 2D graphics environment. Comput. Sci. Eng. 9(3), 90\u201395 (2007)","journal-title":"Comput. Sci. Eng."},{"key":"16_CR7","doi-asserted-by":"crossref","unstructured":"Iyyer, M., Manjunatha, V., Boyd-Graber, J., Daum\u00e9 III, H.: Deep unordered composition rivals syntactic methods for text classification. In: Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, (Volume 1: Long Paper), vol. 1, pp. 1681\u20131691 (2015)","DOI":"10.3115\/v1\/P15-1162"},{"key":"16_CR8","doi-asserted-by":"crossref","unstructured":"Jones, R., Rey, B., Madani, O., Greiner, W.: Generating query substitutions. In: Proceedings of the 15th International Conference on World Wide Web, pp. 387\u2013396. ACM (2006)","DOI":"10.1145\/1135777.1135835"},{"key":"16_CR9","unstructured":"Jozefowicz, R., Vinyals, O., Schuster, M., Shazeer, N., Wu, Y.: Exploring the limits of language modeling, February 2016"},{"key":"16_CR10","unstructured":"Kingma, D., Ba, J.: Adam: a method for stochastic optimization, December 2014"},{"key":"16_CR11","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems, pp. 1097\u20131105 (2012)"},{"key":"16_CR12","unstructured":"Le, Q., Mikolov, T.: Distributed representations of sentences and documents. In: Proceedings of the 31st International Conference on Machine Learning (ICML 2014), pp. 1188\u20131196 (2014)"},{"key":"16_CR13","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1016\/j.neucom.2013.09.055","volume":"139","author":"CY Liou","year":"2014","unstructured":"Liou, C.Y., Cheng, W.C., Liou, J.W., Liou, D.R.: Autoencoder for words. Neurocomputing 139, 84\u201396 (2014)","journal-title":"Neurocomputing"},{"issue":"16","key":"16_CR14","doi-asserted-by":"publisher","first-page":"3150","DOI":"10.1016\/j.neucom.2008.04.030","volume":"71","author":"CY Liou","year":"2008","unstructured":"Liou, C.Y., Huang, J.C., Yang, W.C.: Modeling word perception using the elman network. Neurocomputing 71(16), 3150\u20133157 (2008)","journal-title":"Neurocomputing"},{"key":"16_CR15","doi-asserted-by":"crossref","unstructured":"Liu, F., Lu, H., Lo, C., Neubig, G.: Learning character-level compositionality with visual features. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 2059\u20132068. Association for Computational Linguistics, Vancouver, July 2017. http:\/\/aclweb.org\/anthology\/P17-1188","DOI":"10.18653\/v1\/P17-1188"},{"key":"16_CR16","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space, January 2013"},{"key":"16_CR17","unstructured":"Mikolov, T., Sutskever, I., Chen, K., Corrado, G.S., Dean, J.: Distributed representations of words and phrases and their compositionality. In: Advances in Neural Information Processing Systems, pp. 3111\u20133119 (2013)"},{"key":"16_CR18","doi-asserted-by":"crossref","unstructured":"Pa\u015fca, M., Lin, D., Bigham, J., Lifchits, A., Jain, A.: Names and similarities on the web: fact extraction in the fast lane. In: Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics, pp. 809\u2013816. Association for Computational Linguistics (2006)","DOI":"10.3115\/1220175.1220277"},{"key":"16_CR19","doi-asserted-by":"crossref","unstructured":"Pennington, J., Socher, R., Manning, C.: Glove: global vectors for word representation. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1532\u20131543 (2014)","DOI":"10.3115\/v1\/D14-1162"},{"issue":"5500","key":"16_CR20","doi-asserted-by":"publisher","first-page":"2323","DOI":"10.1126\/science.290.5500.2323","volume":"290","author":"ST Roweis","year":"2000","unstructured":"Roweis, S.T., Saul, L.K.: Nonlinear dimensionality reduction by locally linear embedding. Science 290(5500), 2323\u20132326 (2000)","journal-title":"Science"},{"issue":"1","key":"16_CR21","first-page":"1929","volume":"15","author":"N Srivastava","year":"2014","unstructured":"Srivastava, N., Hinton, G.E., Krizhevsky, A., Sutskever, I., Salakhutdinov, R.: Dropout: a simple way to prevent neural networks from overfitting. J. Mach. Learn. Res. 15(1), 1929\u20131958 (2014)","journal-title":"J. Mach. Learn. Res."},{"key":"16_CR22","unstructured":"Sutskever, I., Vinyals, O., Le, Q.V.: Sequence to sequence learning with neural networks. In: Advances in Neural Information Processing Systems, pp. 3104\u20133112 (2014)"},{"issue":"4","key":"16_CR23","doi-asserted-by":"publisher","first-page":"498","DOI":"10.1006\/jmla.1998.2625","volume":"40","author":"M Taft","year":"1999","unstructured":"Taft, M., Zhu, X., Peng, D.: Positional specificity of radicals in Chinese character recognition. J. Memory Lang. 40(4), 498\u2013519 (1999)","journal-title":"J. Memory Lang."},{"key":"16_CR24","doi-asserted-by":"crossref","unstructured":"Vinyals, O., Toshev, A., Bengio, S., Erhan, D.: Show and tell: a neural image caption generator. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3156\u20133164 (2015)","DOI":"10.1109\/CVPR.2015.7298935"},{"key":"16_CR25","unstructured":"Zhang, X., Zhao, J., LeCun, Y.: Character-level convolutional networks for text classification. In: Advances in Neural Information Processing Systems, pp. 649\u2013657 (2015)"}],"container-title":["Communications in Computer and Information Science","Data Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-13-2203-7_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T11:52:24Z","timestamp":1710330744000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-13-2203-7_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9789811322020","9789811322037"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-981-13-2203-7_16","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"9 September 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPCSEE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference of Pioneering Computer Scientists, Engineers and Educators","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zhengzhou","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ICPCSEE 2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}