{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T05:34:07Z","timestamp":1775280847726,"version":"3.50.1"},"publisher-location":"Cham","reference-count":72,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319459240","type":"print"},{"value":"9783319459257","type":"electronic"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"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":[[2016]]},"DOI":"10.1007\/978-3-319-45925-7_1","type":"book-chapter","created":{"date-parts":[[2016,9,20]],"date-time":"2016-09-20T14:11:34Z","timestamp":1474380694000},"page":"3-15","source":"Crossref","is-referenced-by-count":2,"title":["Continuous-Space Language Processing: Beyond Word Embeddings"],"prefix":"10.1007","author":[{"given":"Mari","family":"Ostendorf","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,9,21]]},"reference":[{"key":"1_CR1","doi-asserted-by":"crossref","unstructured":"Alexandrescu, A., Kirchhoff, K.: Factored neural language models. In: Proceedings of the Conference North American Chapter Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) (2006)","DOI":"10.3115\/1614049.1614050"},{"key":"1_CR2","unstructured":"Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate. In: Proceedings of the International Conference Learning Representations (ICLR) (2015)"},{"key":"1_CR3","doi-asserted-by":"crossref","unstructured":"Ballesteros, M., Dyer, C., Smith, N.: Improved transition-based parsing by modeling characters instead of words with LSTMs. In: Proceedings of the Conference Empirical Methods Natural Language Process (EMNLP), pp. 349\u2013359 (2015)","DOI":"10.18653\/v1\/D15-1041"},{"key":"1_CR4","first-page":"1137","volume":"3","author":"Y Bengio","year":"2003","unstructured":"Bengio, Y., Ducharme, R., Vincent, P., Jauvin, C.: A neural probabilistic language model. J. Mach. Learn. Res. 3, 1137\u20131155 (2003)","journal-title":"J. Mach. Learn. Res."},{"key":"1_CR5","unstructured":"Bengio, Y., Ducharme, R., Vincent, P.: A neural probabilistic language model. In: Proceedings of the Conference Neural Information Processing System (NIPS), pp. 932\u2013938 (2001)"},{"key":"1_CR6","unstructured":"Botha, J.A., Blunsom, P.: Compositional morphology for word representations and language modelling. In: Proceedings of the International Conference on Machine Learning (ICML) (2014)"},{"key":"1_CR7","first-page":"467","volume":"18","author":"PF Brown","year":"1992","unstructured":"Brown, P.F., Della Pietra, V.J., de Souza, P.V., Lai, J.C., Mercer, R.L.: Class-based n-gram models of natural language. Comput. Linguist. 18, 467\u2013479 (1992)","journal-title":"Comput. Linguist."},{"key":"1_CR8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1613\/jair.4135","volume":"49","author":"E Bruni","year":"2014","unstructured":"Bruni, E., Tran, N., Baroni, M.: Multimodal distributional semantics. J. Artif. Intell. Res. 49, 1\u201347 (2014)","journal-title":"J. Artif. Intell. Res."},{"key":"1_CR9","doi-asserted-by":"crossref","unstructured":"Chan, W., Jaitly, N., Le, Q., Vinyals, O.: Listen, attend and spell: a neural network for large vocabulary conversational speech recognition. In: Proceedings of the International Conference Acoustic, Speech, and Signal Process (ICASSP), pp. 4960\u20134964 (2016)","DOI":"10.1109\/ICASSP.2016.7472621"},{"key":"1_CR10","doi-asserted-by":"crossref","unstructured":"Cho, K., van Merri\u00ebnboer, B., Gulcehre, C., Bahadanau, D., Bougares, F., Schwenk, H., Bengio, Y.: Learning phrase representations using RNN encoder-decoder for statistical machine translation. In: Proceedings of the Conference Empirical Methods Natural Language Process (EMNLP), pp. 1724\u20131734 (2014)","DOI":"10.3115\/v1\/D14-1179"},{"key":"1_CR11","doi-asserted-by":"crossref","unstructured":"Chrupala, G.: Normalizing tweets with edit scripts and recurrent neural embeddings. In: Proceedings of the Annual Meeting Association for Computational Linguistics (ACL) (2014)","DOI":"10.3115\/v1\/P14-2111"},{"key":"1_CR12","doi-asserted-by":"crossref","unstructured":"Collobert, R., Weston, J.: A unified architecture for natural language processing: deep neural networks with multitask learning. In: Proceedings of the International Conference Machine Learning (ICML), pp. 160\u2013167 (2008)","DOI":"10.1145\/1390156.1390177"},{"key":"1_CR13","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":"1_CR14","unstructured":"Creutz, M., Lagus, K.: Inducing the morphological lexicon of a natural language from unannotated text. In: Proceedings International and Interdisciplinary Conference on Adaptive Knowledge Representation and Reasoning (AKRR), June 2005"},{"key":"1_CR15","doi-asserted-by":"crossref","unstructured":"Dyer, C., Kuncoro, A., Ballesteros, M., Smith, N.A.: Recurrent neural network grammars. In: Proceedings of the Conference North American Chapter Association for Computational Linguistics (NAACL) (2015)","DOI":"10.18653\/v1\/N16-1024"},{"key":"1_CR16","unstructured":"Eisenstein, J., Ahmed, A., Xing, E.P.: Sparse additive generative models of text. In: Proceedings of the International Conference Machine Learning (ICML) (2011)"},{"key":"1_CR17","doi-asserted-by":"crossref","unstructured":"Eyben, F., W\u00f6llmer, M., Schuller, B., Graves, A.: From speech to letters - using a novel neural network architecture for grapheme based ASR. In: Proceedings of the Automatic Speech Recognition and Understanding Workshop (ASRU), pp. 376\u2013380 (2009)","DOI":"10.1109\/ASRU.2009.5373257"},{"key":"1_CR18","doi-asserted-by":"crossref","unstructured":"Fang, H., Gupta, S., Iandola, F., Srivastava, R., Deng, L., Dollar, P., Gao, J., He, X., Mitchell, M., Platt, J., Zitnick, L., Zweig, G., Zitnick, L.: From captions to visual concepts and back. In: Proceedings of the Conference Computer Vision and Pattern Recognition (CVPR) (2015)","DOI":"10.1109\/CVPR.2015.7298754"},{"issue":"12","key":"1_CR19","doi-asserted-by":"crossref","first-page":"2410","DOI":"10.1109\/TASLP.2015.2482118","volume":"23","author":"H Fang","year":"2015","unstructured":"Fang, H., Ostendorf, M., Baumann, P., Pierrehumbert, J.: Exponential language modeling using morphological featues and multi-task learning. IEEE Trans. Audio Speech Lang. Process. 23(12), 2410\u20132421 (2015)","journal-title":"IEEE Trans. Audio Speech Lang. Process."},{"key":"1_CR20","doi-asserted-by":"crossref","unstructured":"Gillick, D., Brunk, C., Vinyals, O., Subramanya, A.: Multilingual language processing from bytes. In: Proceedings of the Conference North American Chapter Association for Computational Linguistics (NAACL) (2016)","DOI":"10.18653\/v1\/N16-1155"},{"key":"1_CR21","doi-asserted-by":"crossref","unstructured":"Graves, A., Fernandez, S., Gomez, F., Schmidhuber, J.: Connectionist temporal classification: labeling unsegmented sequence data with recurrent neural networks. In: Proceedings of the International Conference Machine Learning (ICML) (2006)","DOI":"10.1145\/1143844.1143891"},{"issue":"5","key":"1_CR22","doi-asserted-by":"crossref","first-page":"602","DOI":"10.1016\/j.neunet.2005.06.042","volume":"18","author":"A Graves","year":"2005","unstructured":"Graves, A., Schmidhuber, J.: Framewise phoneme classification with bidirectional LSTM and other neural network architectures. Neural Netw. 18(5), 602\u2013610 (2005)","journal-title":"Neural Netw."},{"key":"1_CR23","doi-asserted-by":"crossref","unstructured":"He, J., Chen, J., He, X., Gao, J., Li, L., Deng, L., Ostendorf, M.: Deep reinforcement learning with a natural language action space. In: Proceedings of the Annual Meeting Association for Computational Linguistics (ACL) (2016)","DOI":"10.18653\/v1\/P16-1153"},{"key":"1_CR24","unstructured":"Hershey, J.R., Roux, J.L., Weninger, F.: Deep unfolding: model-based inspiration of novel deep architectures. arXiv preprint arXiv:1409.2574v4 (2014)"},{"issue":"8","key":"1_CR25","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":"1_CR26","doi-asserted-by":"crossref","unstructured":"Huang, P.S., He, X., Gao, J., Deng, L., Acero, A., Heck, L.: Learning deep structured semantic models for web search using clickthrough data. In: Proceedings of the ACM International Conference on Information and Knowledge Management (2013)","DOI":"10.1145\/2505515.2505665"},{"issue":"3","key":"1_CR27","doi-asserted-by":"crossref","first-page":"494","DOI":"10.1109\/TASLP.2014.2379593","volume":"23","author":"B Hutchinson","year":"2015","unstructured":"Hutchinson, B., Ostendorf, M., Fazel, M.: A sparse plus low rank maximum entropy language model for limited resource scenarios. IEEE Trans. Audio Speech Lang. Process. 23(3), 494\u2013504 (2015)","journal-title":"IEEE Trans. Audio Speech Lang. Process."},{"key":"1_CR28","unstructured":"Hutchinson, B.: Rank and sparsity in language processing. Ph.D. thesis, University of Washington, August 2013"},{"key":"1_CR29","doi-asserted-by":"crossref","unstructured":"Jaech, A., Heck, L., Ostendorf, M.: Domain adaptation of recurrent neural networks for natural language understanding. In: Proceedings of the International Conference Speech Communication Association (Interspeech) (2016)","DOI":"10.21437\/Interspeech.2016-1598"},{"key":"1_CR30","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1162\/tacl_a_00142","volume":"3","author":"Y Ji","year":"2015","unstructured":"Ji, Y., Eisenstein, J.: One vector is not enough: entity-augmented distributional semantics for discourse relations. Trans. Assoc. Comput. Linguist. (TACL) 3, 329\u2013344 (2015)","journal-title":"Trans. Assoc. Comput. Linguist. (TACL)"},{"key":"1_CR31","unstructured":"Jozafowicz, R., Vinyals, O., Schuster, M., Shazeer, N., Wu, Y.: Exploring the limits of language modeling. arXiv preprint arXiv:1602.02410 (2015)"},{"key":"1_CR32","doi-asserted-by":"crossref","unstructured":"Kalchbrenner, N., Grefenstette, E., Blunsom, P.: A convolutional neural network for modelling sentences. In: Proceedings of the Annual Meeting Association for Computational Linguistics (ACL) (2014)","DOI":"10.3115\/v1\/P14-1062"},{"key":"1_CR33","doi-asserted-by":"crossref","unstructured":"Karpathy, A., Fei-Fei, L.: Deep visual-semantic alignments for generating image descriptions. In: Proceedings of the Conference Computer Vision and Pattern Recognition (CVPR) (2015)","DOI":"10.1109\/CVPR.2015.7298932"},{"key":"1_CR34","doi-asserted-by":"crossref","unstructured":"Kim, Y.: Convolutional neural networks for sentence classification. In: Proceedings of the Conference Empirical Methods Natural Language Process (EMNLP) (2014)","DOI":"10.3115\/v1\/D14-1181"},{"key":"1_CR35","doi-asserted-by":"crossref","unstructured":"Kim, Y., Jernite, Y., Sontag, D., Rush, A.: Character-aware neural language models. In: Proceedings of the AAAI, pp. 2741\u20132749 (2016)","DOI":"10.1609\/aaai.v30i1.10362"},{"key":"1_CR36","unstructured":"Kong, L., Dyer, C., Smith, N.: Segmental neural networks. In: Proceedings of the International Conference Learning Representations (ICLR) (2016)"},{"key":"1_CR37","doi-asserted-by":"crossref","unstructured":"Lai, S., Xu, L., Liu, K., Zhao, J.: Recurrent convolutional neural networks for text classification. In: Proceedings of the AAAI (2015)","DOI":"10.1609\/aaai.v29i1.9513"},{"key":"1_CR38","doi-asserted-by":"crossref","unstructured":"Lev, G., Klein, B., Wolf, L.: In defense of word embedding for generic text representation. In: International Conference on Applications of Natural Language to Information Systems, pp. 35\u201350 (2015)","DOI":"10.1007\/978-3-319-19581-0_3"},{"key":"1_CR39","doi-asserted-by":"crossref","unstructured":"Levy, O., Goldberg, Y.: Linguistic regularities in sparse and explicit word representations. In: Proceedings of the Conference Computational Language Learning, pp. 171\u2013180 (2014)","DOI":"10.3115\/v1\/W14-1618"},{"key":"1_CR40","doi-asserted-by":"crossref","unstructured":"Levy, O., Goldberg, Y., Dagan, I.: Improving distributional similarity with lessons learned from word embeddings. In: Proceedings of the Annual Meeting Association for Computational Linguistics (ACL), pp. 211\u2013225 (2015)","DOI":"10.1162\/tacl_a_00134"},{"key":"1_CR41","doi-asserted-by":"crossref","unstructured":"Li, J., Galley, M., Brockett, C., Gao, J., Dolan, B.: A persona-based neural conversation model. In: Proceedings of the Annual Meeting Association for Computational Linguistics (ACL) (2016)","DOI":"10.18653\/v1\/P16-1094"},{"key":"1_CR42","doi-asserted-by":"crossref","unstructured":"Li, J., Jurafsky, D.: Do multi-sense embeddings improve natural language understanding? In: Proceedings of the Conference North American Chapter Association for Computational Linguistics (NAACL), pp. 1722\u20131732 (2015)","DOI":"10.18653\/v1\/D15-1200"},{"key":"1_CR43","doi-asserted-by":"crossref","unstructured":"Lin, R., Liu, S., Yang, M., Li, M., Zhou, M., Li, S.: Hierarchical recurrent neural network for document modeling. In: Proceedings of the Conference Empirical Methods Natural Language Processing (EMNLP), pp. 899\u2013907 (2015)","DOI":"10.18653\/v1\/D15-1106"},{"key":"1_CR44","doi-asserted-by":"crossref","unstructured":"Ling, W., Lu\u00eds, T., Marujo, L., Astudillo, R.F., Amir, S., Dyer, C., Black, A.W., Trancoso, I.: Finding function in form: compositional character models for open vocabulary word representation. In: EMNLP (2015)","DOI":"10.18653\/v1\/D15-1176"},{"key":"1_CR45","unstructured":"Long, M.T., Socher, R., Manning, C.: Better word representations for recursive neural networks for morphology. In: Proceedings of the Conference Computational Natural Language Learning (CoNLL) (2013)"},{"key":"1_CR46","doi-asserted-by":"crossref","unstructured":"Lu, A., Wang, W., Bansal, M., Gimpel, K., Livescu, K.: Deep multilingual correlation for improved word embeddings. In: Proceedings of the Conference North American Chapter Association for Computational Linguistics (NAACL), pp. 250\u2013256 (2015)","DOI":"10.3115\/v1\/N15-1028"},{"key":"1_CR47","doi-asserted-by":"crossref","unstructured":"Maas, A., Xie, Z., Jurafsky, D., Ng, A.: Lexicon-free conversational speech recognition with neural networks. In: Proceedings of the Conference North American Chapter Association for Computational Linguistics (NAACL), pp. 345\u2013354 (2015)","DOI":"10.3115\/v1\/N15-1038"},{"key":"1_CR48","first-page":"2579","volume":"9","author":"L Maaten van der","year":"2008","unstructured":"van der Maaten, L., Hinton, G.: Visualizing data using t-SNE. Mach. Learn. Res. 9, 2579\u20132605 (2008)","journal-title":"Mach. Learn. Res."},{"key":"1_CR49","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. In: Proceedings of the International Conference Learning Representations (ICLR) (2013)"},{"key":"1_CR50","unstructured":"Mikolov, T., Yih, W., Zweig, G.: Linguistic regularities in continuous space word representations. In: Proceedings of the Conference North American Chapter Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) (2013)"},{"key":"1_CR51","doi-asserted-by":"crossref","unstructured":"Mikolov, T., Zweig, G.: Context dependent recurrent neural network language model. In: Proceedings of the IEEE Spoken Language Technologies Workshop (2012)","DOI":"10.1109\/SLT.2012.6424228"},{"key":"1_CR52","doi-asserted-by":"crossref","unstructured":"Mikolov, T., Martin, K., Burget, L., C\u0306ernock\u00fd, J., Khudanpur, S.: Recurrent neural network based language model. In: Proceedings of the International Conference Speech Communication Association (Interspeech) (2010)","DOI":"10.1109\/ICASSP.2011.5947611"},{"key":"1_CR53","doi-asserted-by":"crossref","unstructured":"Mousa, A.E.D., Kuo, H.K.J., Mangu, L., Soltau, H.: Morpheme-based feature-rich language models using deep neural networks for LVCSR of Egyptian Arabic. In: Proceedings of the International Conference Acoustic, Speech, and Signal Process (ICASSP), pp. 8435\u20138439 (2013)","DOI":"10.1109\/ICASSP.2013.6639311"},{"key":"1_CR54","unstructured":"Murphy, B., Talukdar, P., Mitchell, T.: Learning effective and interpretable semantic models using non-negative sparse embedding. In: Proceedings of the International Conference Computational Linguistics (COLING) (2012)"},{"key":"1_CR55","doi-asserted-by":"crossref","unstructured":"Pennington, J., Socher, R., Manning, C.: GloVe: global vectors for word representation. In: Proceedings of the Conference Empirical Methods Natural Language Process (EMNLP) (2014)","DOI":"10.3115\/v1\/D14-1162"},{"key":"1_CR56","unstructured":"Qui, S., Cui, Q., Bian, J., Gao, B., Liu, T.Y.: Co-learning of word representations and morpheme representations. In: Proceedings of the International Conference Computational Linguistics (COLING) (2014)"},{"key":"1_CR57","doi-asserted-by":"crossref","unstructured":"Rush, A., Chopra, S., Weston, J.: A neural attention model for sentence summarization. In: Proceedings of the International Conference Empirical Methods Natural Language Process (EMNLP), pp. 379\u2013389 (2015)","DOI":"10.18653\/v1\/D15-1044"},{"key":"1_CR58","doi-asserted-by":"crossref","unstructured":"dos Santos, C., Guimar\u00e3es, V.: Boosting named entity recognition with neural character embeddings. In: Proceedings of the ACL Named Entities Workshop, pp. 25\u201333 (2015)","DOI":"10.18653\/v1\/W15-3904"},{"key":"1_CR59","unstructured":"dos Santos, C., Zadrozny, B.: Learning character-level representations for part-of-speech tagging. In: Proceedings of the International Conference Machine Learning (ICML) (2015)"},{"issue":"1","key":"1_CR60","first-page":"97","volume":"24","author":"H Schutze","year":"1998","unstructured":"Schutze, H.: Automatic word sense discrimination. Comput. Linguist. 24(1), 97\u2013123 (1998)","journal-title":"Comput. Linguist."},{"key":"1_CR61","doi-asserted-by":"crossref","unstructured":"Schwartz, R., Reichart, R., Rappoport, A.: Symmetric pattern-based word embeddings for improved word similarity prediction. In: Proceedings of the Conference Computational Language Learning, pp. 258\u2013267 (2015)","DOI":"10.18653\/v1\/K15-1026"},{"key":"1_CR62","unstructured":"Socher, R., Bauer, J., Manning, C.: Parsing with compositional vectors. In: Proceedings of the Annual Meeting Association for Computational Linguistics (ACL) (2013)"},{"key":"1_CR63","unstructured":"Socher, R., Lin, C., Ng, A., Manning, C.: Parsing natural scenes and natural language with recursive neural networks. In: Proceedings of the International Conference Machine Learning (ICML) (2011)"},{"key":"1_CR64","doi-asserted-by":"crossref","unstructured":"Sordoni, A., Galley, M., Auli, M., Brockett, C., Ji, Y., Mitchell, M., Nie, J.Y., Gao, J., Dolan, B.: A neural network approach to context-sensitive generation of conversational responses. In: Proceedings of the Conference North American Chapter Association for Computational Linguistics (NAACL) (2015)","DOI":"10.3115\/v1\/N15-1020"},{"key":"1_CR65","unstructured":"Srivastava, R., Greff, K., Schmidhuber, J.: Training very deep networks. In: Proceedings of the Conference Neural Information Processing System (NIPS) (2015)"},{"key":"1_CR66","doi-asserted-by":"crossref","unstructured":"Sundermeyer, M., Schl\u00fcter, R., Ney, H.: LSTM neural networks for language modeling. In: Proceedings of the Interspeech (2012)","DOI":"10.21437\/Interspeech.2012-65"},{"issue":"3","key":"1_CR67","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1162\/coli.2006.32.3.379","volume":"32","author":"P Turney","year":"2006","unstructured":"Turney, P.: Similarity of semantic relations. Comput. Linguist. 32(3), 379\u2013416 (2006)","journal-title":"Comput. Linguist."},{"key":"1_CR68","unstructured":"Wu, Y., Lu, X., Yamamoto, H., Matsuda, S., Hori, C., Kashioka, H.: Factored language model based on recurrent neural network. In: Proceedings of the International Conference Computational Linguistics (COLING) (2012)"},{"key":"1_CR69","unstructured":"Yao, K., Zweig, G., Peng, B.: Intention with attention for a neural network conversation model. arXiv preprint arXiv:1510.08565v3 (2015)"},{"key":"1_CR70","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1162\/tacl_a_00175","volume":"2","author":"D Yogatama","year":"2014","unstructured":"Yogatama, D., Wang, C., Routledge, B., Smith, N., Xing, E.: Dynamic language models for streaming text. Trans. Assoc. Comput. Linguist. (TACL) 2, 181\u2013192 (2014)","journal-title":"Trans. Assoc. Comput. Linguist. (TACL)"},{"key":"1_CR71","doi-asserted-by":"crossref","unstructured":"Zayats, V., Ostendorf, M., Hajishirzi, H.: Disfluency detection using a bidirectional LSTM. In: Proceedings of the International Conference Speech Communication Association (Interspeech) (2016)","DOI":"10.21437\/Interspeech.2016-1247"},{"key":"1_CR72","unstructured":"Zhang, X., Zhao, J., LeCun, Y.: Character-level convolutional networks for text classification. In: Proceedings of the Conference Neural Information Processing System (NIPS), pp. 1\u20139 (2015)"}],"container-title":["Lecture Notes in Computer Science","Statistical Language and Speech Processing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-45925-7_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,10]],"date-time":"2025-06-10T20:17:17Z","timestamp":1749586637000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-45925-7_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319459240","9783319459257"],"references-count":72,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-45925-7_1","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]}}}