{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:46:20Z","timestamp":1742913980227,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030368074"},{"type":"electronic","value":"9783030368081"}],"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\/978-3-030-36808-1_27","type":"book-chapter","created":{"date-parts":[[2019,12,6]],"date-time":"2019-12-06T15:04:08Z","timestamp":1575644648000},"page":"247-255","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["How We Achieved a Production Ready Slot Filling Deep Neural Network Without Initial Natural Language Data"],"prefix":"10.1007","author":[{"given":"Fran\u00e7ois","family":"Torregrossa","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nihel","family":"Kooli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Robin","family":"Allesiardo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Erwan","family":"Pigneul","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,12,5]]},"reference":[{"key":"27_CR1","first-page":"2012","volume":"13","author":"J Bergstra","year":"2012","unstructured":"Bergstra, J., Bengio, Y.: Random search for hyper-parameter optimization. J. Mach. Learn. Res. 13, 2012 (2012)","journal-title":"J. Mach. Learn. Res."},{"key":"27_CR2","doi-asserted-by":"crossref","unstructured":"Bojanowski, P., Grave, E., Joulin, A., Mikolov, T.: Enriching word vectors with subword information. arXiv preprint arXiv:1607.04606 (2016)","DOI":"10.1162\/tacl_a_00051"},{"key":"27_CR3","doi-asserted-by":"crossref","unstructured":"Cho, K., et al.: Learning phrase representations using RNN encoder-decoder for statistical machine translation. In: Conference on Empirical Methods in Natural Language Processing (2014)","DOI":"10.3115\/v1\/D14-1179"},{"key":"27_CR4","unstructured":"Grandvalet, Y., Bengio, Y.: Semi-supervised learning by entropy minimization. In: NIPS (2004)"},{"key":"27_CR5","doi-asserted-by":"crossref","unstructured":"Graves, A., Schmidhuber, J.: Framewise phoneme classification with bidirectional LSTM and other neural network architectures. In: IJCNN (2005)","DOI":"10.1016\/j.neunet.2005.06.042"},{"key":"27_CR6","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. In: 3rd International Conference on Learning Representations, ICLR 2015 (2015)"},{"key":"27_CR7","unstructured":"Lafferty, J.D., McCallum, A., Pereira, F.C.N.: Conditional random fields: probabilistic models for segmenting and labeling sequence data. In: ICML (2001)"},{"key":"27_CR8","doi-asserted-by":"crossref","unstructured":"Ma X., Hovy, E.: Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding. In: End-to-End Sequence Labeling via Bi-directional LSTM-CNNS-CRF. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (2016)","DOI":"10.18653\/v1\/P16-1101"},{"key":"27_CR9","doi-asserted-by":"crossref","unstructured":"Mesnil G., He X., Deng, L., Bengio, Y.: Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding. In: INTERSPEECH (2013)","DOI":"10.21437\/Interspeech.2013-596"},{"key":"27_CR10","unstructured":"Nair, V., Hinton, G.: Rectified linear units improve restricted Boltzmann machines. In: ICML 2010 (2010)"},{"key":"27_CR11","unstructured":"Paszke, A., et al.: Automatic differentiation in PyTorch. In: NIPS Workshop (2017)"},{"key":"27_CR12","first-page":"2493","volume":"12","author":"R Collobert","year":"2011","unstructured":"Collobert, R., Weston, J., Bottou, L., Karlen, M., Kavukcuoglu, K., Kuksa, P.: Natural language processing (almost) from scratch. J. Mach. Learn. Res. 12, 2493\u20132537 (2011)","journal-title":"J. Mach. Learn. Res."},{"key":"27_CR13","doi-asserted-by":"crossref","unstructured":"Sang, E.F.T.K., Veenstra, J.: Representing text chunks. In: Proceedings of the Ninth Conference on European Chapter of the Association for Computational Linguistics, EACL 1999, pp. 173\u2013179. Association for Computational Linguistics (1999)","DOI":"10.3115\/977035.977059"},{"key":"27_CR14","unstructured":"Sun, A., Grishman, R., Xu, W., Min, B.: New York University 2011 system for KBP slot filling. In: TAC. NIST (2011)"},{"key":"27_CR15","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1002\/9781119992691.ch3","volume-title":"Spoken Language Understanding","author":"Ye-Yi Wang","year":"2011","unstructured":"Wang, Y., Deng, L., Acero, A.: Semantic frame based spoken language understanding. In: Tur, G., De Mori, R. (eds.) Spoken Language Understanding: Systems for Extracting Semantic Information from Speech, Chap. 3, pp. 35\u201380, January 2011"}],"container-title":["Communications in Computer and Information Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-36808-1_27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T13:22:30Z","timestamp":1710249750000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-36808-1_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030368074","9783030368081"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-36808-1_27","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"5 December 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sydney, NSW","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","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":"12 December 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 December 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ajiips.com.au\/iconip2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}