{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T20:40:45Z","timestamp":1725914445625},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319700953"},{"type":"electronic","value":"9783319700960"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-70096-0_17","type":"book-chapter","created":{"date-parts":[[2017,10,24]],"date-time":"2017-10-24T21:33:18Z","timestamp":1508880798000},"page":"157-166","source":"Crossref","is-referenced-by-count":2,"title":["Patterns Versus Characters in Subword-Aware Neural Language Modeling"],"prefix":"10.1007","author":[{"given":"Rustem","family":"Takhanov","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenisbek","family":"Assylbekov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,10,26]]},"reference":[{"key":"17_CR1","unstructured":"Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., Corrado, G.S., Davis, A., Dean, J., Devin, M., et al.: Tensorflow: Large-scale machine learning on heterogeneous distributed systems (2016). arXiv preprint: arXiv:1603.04467"},{"key":"17_CR2","unstructured":"Bojanowski, P., Grave, E., Joulin, A., Mikolov, T.: Enriching word vectors with subword information (2016). arXiv preprint: arXiv:1607.04606"},{"key":"17_CR3","unstructured":"Botha, J., Blunsom, P.: Compositional morphology for word representations and language modelling. In: Proceedings of the 31st International Conference on Machine Learning (ICML 2014), pp. 1899\u20131907 (2014)"},{"issue":"3","key":"17_CR4","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1109\/TIT.1956.1056813","volume":"2","author":"N Chomsky","year":"1956","unstructured":"Chomsky, N.: Three models for the description of language. IRE Trans. Inf. Theor. 2(3), 113\u2013124 (1956)","journal-title":"IRE Trans. Inf. Theor."},{"key":"17_CR5","unstructured":"Gal, Y., Ghahramani, Z.: A theoretically grounded application of dropout in recurrent neural networks. In: Advances in Neural Information Processing Systems, pp. 1019\u20131027 (2016)"},{"key":"17_CR6","unstructured":"Graves, A.: Generating sequences with recurrent neural networks (2013). arXiv preprint: arXiv:1308.0850"},{"key":"17_CR7","unstructured":"Hardt, M., Ma, T.: Identity matters in deep learning (2016). arXiv preprint: arXiv:1611.04231"},{"issue":"8","key":"17_CR8","doi-asserted-by":"crossref","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."},{"key":"17_CR9","doi-asserted-by":"crossref","unstructured":"Kim, Y., Jernite, Y., Sontag, D., Rush, A.M.: Character-aware neural language models. In: Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, pp. 2741\u20132749. AAAI Press (2016)","DOI":"10.1609\/aaai.v30i1.10362"},{"key":"17_CR10","unstructured":"Lankinen, M., Heikinheimo, H., Takala, P., Raiko, T., Karhunen, J.: A character-word compositional neural language model for finnish (2016). arXiv preprint: arXiv:1612.03266"},{"key":"17_CR11","doi-asserted-by":"crossref","unstructured":"Ling, W., Dyer, C., Black, A.W., Trancoso, I., Fermandez, R., Amir, S., Marujo, L., Luis, T.: Finding function in form: compositional character models for open vocabulary word representation. In: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, Lisbon, Portugal, pp. 1520\u20131530. Association for Computational Linguistics, September 2015","DOI":"10.18653\/v1\/D15-1176"},{"issue":"2","key":"17_CR12","first-page":"313","volume":"19","author":"MP Marcus","year":"1993","unstructured":"Marcus, M.P., Marcinkiewicz, M.A., Santorini, B.: Building a large annotated corpus of English: the penn treebank. Comput. Linguist. 19(2), 313\u2013330 (1993)","journal-title":"Comput. Linguist."},{"key":"17_CR13","unstructured":"Merity, S., Xiong, C., Bradbury, J., Socher, R.: Pointer sentinel mixture models. In: Proceedings of ICLR 2017 (2017)"},{"key":"17_CR14","doi-asserted-by":"crossref","unstructured":"Mikolov, T., Karafi\u00e1t, M., Burget, L., Cernock\u1ef3, J., Khudanpur, S.: Recurrent neural network based language model. In: Interspeech, vol. 2, p. 3 (2010)","DOI":"10.1109\/ICASSP.2011.5947611"},{"key":"17_CR15","unstructured":"Mikolov, T., Sutskever, I., Deoras, A., Le, H.S., Kombrink, S., Cernocky, J.: Subword language modeling with neural networks (2012). Preprint ( http:\/\/www.fit.vutbr.cz\/imikolov\/rnnlm\/char.pdf )"},{"key":"17_CR16","unstructured":"Shannon, C.E., Weaver, W.: A mathematical theory of communication (1963)"},{"key":"17_CR17","unstructured":"Sperr, H., Niehues, J., Waibel, A.: Letter n-gram-based input encoding for continuous space language models. In: Proceedings of the Workshop on Continuous Vector Space Models and their Compositionality, pp. 30\u201339 (2013)"},{"key":"17_CR18","unstructured":"Srivastava, R.K., Greff, K., Schmidhuber, J.: Training very deep networks. In: Advances in Neural Information Processing Systems, pp. 2377\u20132385 (2015)"},{"key":"17_CR19","unstructured":"Takhanov, R., Kolmogorov, V.: Inference algorithms for pattern-based CRFs on sequence data. In: ICML, vol. 3, pp. 145\u2013153 (2013)"},{"key":"17_CR20","doi-asserted-by":"crossref","unstructured":"Verwimp, L., Pelemans, J., Wambacq, P., et al.: Character-word LSTM language models. In: Proceedings of EACL 2017 (2017)","DOI":"10.18653\/v1\/E17-1040"},{"issue":"10","key":"17_CR21","doi-asserted-by":"crossref","first-page":"1550","DOI":"10.1109\/5.58337","volume":"78","author":"PJ Werbos","year":"1990","unstructured":"Werbos, P.J.: Backpropagation through time: what it does and how to do it. Proc. IEEE 78(10), 1550\u20131560 (1990)","journal-title":"Proc. IEEE"},{"key":"17_CR22","doi-asserted-by":"crossref","unstructured":"Wieting, J., Bansal, M., Gimpel, K., Livescu, K.: Charagram: embedding words and sentences via character n-grams. In: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, EMNLP 2016, Austin, Texas, USA, pp. 1504\u20131515, 1\u20134 November 2016","DOI":"10.18653\/v1\/D16-1157"},{"key":"17_CR23","unstructured":"Ye, N., Lee, W.S., Chieu, H.L., Wu, D.: Conditional random fields with high-order features for sequence labeling. In: Advances in Neural Information Processing Systems, pp. 2196\u20132204 (2009)"},{"key":"17_CR24","unstructured":"Zaremba, W., Sutskever, I., Vinyals, O.: Recurrent neural network regularization (2014). arXiv preprint: arXiv:1409.2329"},{"key":"17_CR25","unstructured":"Zilly, J.G., Srivastava, R.K., Koutn\u00edk, J., Schmidhuber, J.: Recurrent highway networks (2016). arXiv preprint: arXiv:1607.03474"},{"key":"17_CR26","unstructured":"Zoph, B., Le, Q.V.: Neural architecture search with reinforcement learning. In: Proceedings of ICLR 2017 (2017)"}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-70096-0_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,5]],"date-time":"2022-08-05T03:31:03Z","timestamp":1659670263000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-70096-0_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319700953","9783319700960"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-70096-0_17","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}