{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T21:14:29Z","timestamp":1742937269717,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030299071"},{"type":"electronic","value":"9783030299088"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","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":[[2019]]},"DOI":"10.1007\/978-3-030-29908-8_31","type":"book-chapter","created":{"date-parts":[[2019,8,23]],"date-time":"2019-08-23T01:03:32Z","timestamp":1566522212000},"page":"392-396","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Noise-Based Adversarial Training for\u00a0Enhancing Agglutinative Neural Machine\u00a0Translation"],"prefix":"10.1007","author":[{"given":"Yatu","family":"Ji","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongxu","family":"Hou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junjie","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nier","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,8,23]]},"reference":[{"key":"31_CR1","doi-asserted-by":"publisher","first-page":"557","DOI":"10.1162\/tacl_a_00039","volume":"6","author":"Xilun Chen","year":"2018","unstructured":"Chen, X., Sun, Y., et al.: Adversarial deep averaging networks for cross-lingual sentiment classification. In: Association for Computational Linguistics (ACL), pp. 557\u2013570 (2016)","journal-title":"Transactions of the Association for Computational Linguistics"},{"key":"31_CR2","unstructured":"Gehring, J., Auli, M., Grangier, D., et al.: Convolutional sequence to sequence learning. In: International Conference on Machine Learning (ICML), pp. 1243\u20131252 (2017)"},{"key":"31_CR3","doi-asserted-by":"crossref","unstructured":"Mikolov, T., Kombrink, S., Burget, L., et al.: Extensions of recurrent neural network language model. In: International Conference on Acoustics, Speech, and Signal Processing, pp. 5528\u20135531 (2011)","DOI":"10.1109\/ICASSP.2011.5947611"},{"key":"31_CR4","unstructured":"Nogueira, R., Cho, K.: Webnav: a new large-scale task for natural language based sequential decision making. arXiv preprint arXiv:1602.02261 (2016)"},{"key":"31_CR5","doi-asserted-by":"crossref","unstructured":"Papineni, K., Roukos, S., Ward, T., Zhu, W.J.: BLEU: a method for automatic evaluation of machine translation. In: Proceedings of the 40th Annual Meeting on Association for Computational Linguistics (ACL), pp. 311\u2013318 (2002)","DOI":"10.3115\/1073083.1073135"},{"key":"31_CR6","unstructured":"Ranzato, M., Chopra, S., et al.: Sequence level training with recurrent neural networks. arXiv:1511.06732 (2015)"},{"key":"31_CR7","unstructured":"Sunmola, F.T., Wyatt, J.L.: Model transfer for Markov decision tasks via parameter matching. In: PlanSIG 2006, pp. 246\u2013252 (2006)"},{"key":"31_CR8","unstructured":"Sutskever, I., Vinyals, O., Le, Q.V.: Sequence to sequence learning with neural networks. In: Conference and Workshop on Neural Information Processing Systems (NIPS), pp. 3104\u20133112 (2014)"},{"key":"31_CR9","unstructured":"Vaswani, A., Shazeer, N., et al.: Attention is all you need. In: Conference and Workshop on Neural Information Processing Systems (NIPS), pp. 5998\u20136008 (2017)"},{"issue":"7540","key":"31_CR10","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1038\/nature14236","volume":"518","author":"M Volodymyr","year":"2015","unstructured":"Volodymyr, M., Koray, K., et al.: Human-level control through deep reinforcement learning. Nature 518(7540), 529 (2015)","journal-title":"Nature"},{"key":"31_CR11","doi-asserted-by":"crossref","unstructured":"Yu, L., Zhang, W., Wang, J., Yu, Y.: SeqGAN: sequence generative adversarial nets with policy gradient. In: The Association for the Advancement of Artificial Intelligence (AAAI), pp. 2852\u20132858 (2016)","DOI":"10.1609\/aaai.v31i1.10804"},{"issue":"1","key":"31_CR12","doi-asserted-by":"publisher","first-page":"515","DOI":"10.1162\/tacl_a_00077","volume":"5","author":"Y Zhang","year":"2017","unstructured":"Zhang, Y., Barzilay, R., Jaakkola, T.: Aspect-augmented adversarial networks for domain adaptation. Trans. Assoc. Comput. Linguist. 5(1), 515\u2013528 (2017)","journal-title":"Trans. Assoc. Comput. Linguist."},{"key":"31_CR13","unstructured":"Zhen, Y., Wei, C., Feng, W., Bo, X.: Improving neural machine translation with conditional sequence generative adversarial nets. In: The North American Chapter of the Association for Computational Linguistics (NAACL), pp. 1346\u20131355 (2018)"},{"key":"31_CR14","doi-asserted-by":"crossref","unstructured":"Zhu, J.Y., Park, T., et al.: Unpaired image-to-image translation using cycle-consistent adversarial networks. In: IEEE International Conference on Computer Vision (ICCV), pp. 2223\u20132232 (2017)","DOI":"10.1109\/ICCV.2017.244"}],"container-title":["Lecture Notes in Computer Science","PRICAI 2019: Trends in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-29908-8_31","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T15:22:27Z","timestamp":1709824947000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-29908-8_31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030299071","9783030299088"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-29908-8_31","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"23 August 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRICAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pacific Rim International Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cuvu, Yanuka Island","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Fiji","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 August 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 August 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pricai2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.pricai.org\/2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}