{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,2]],"date-time":"2025-07-02T22:43:21Z","timestamp":1751496201953,"version":"3.37.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319476643"},{"type":"electronic","value":"9783319476650"}],"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\/978-3-319-47665-0_53","type":"book-chapter","created":{"date-parts":[[2016,10,18]],"date-time":"2016-10-18T06:10:56Z","timestamp":1476771056000},"page":"451-455","source":"Crossref","is-referenced-by-count":8,"title":["A Deep Learning Methodology for Semantic Utterance Classification in Virtual Human Dialogue Systems"],"prefix":"10.1007","author":[{"given":"Debajyoti","family":"Datta","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Valentina","family":"Brashers","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John","family":"Owen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Casey","family":"White","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laura E.","family":"Barnes","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,10,19]]},"reference":[{"key":"53_CR1","doi-asserted-by":"crossref","unstructured":"Brashers, V., Erickson, J.M., Blackhall, L., Owen, J.A., Thomas, S.M., Conaway, M.R.: Measuring the impact of clinically relevant interprofessional education on undergraduate medical and nursing student competencies: a longitudinal mixed methods approach. J. Interprof. Care 30(4), 448\u2013457 (2016). http:\/\/dx.doi.org\/10.3109\/13561820.2016.1162139 , pMID: 27269441","DOI":"10.3109\/13561820.2016.1162139"},{"key":"53_CR2","unstructured":"Chung, J., Gulcehre, C., Cho, K., Bengio, Y.: Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555 (2014)"},{"key":"53_CR3","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."},{"issue":"8","key":"53_CR4","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":"53_CR5","doi-asserted-by":"crossref","unstructured":"Kalchbrenner, N., Grefenstette, E., Blunsom, P.: A convolutional neural network for modelling sentences. arXiv preprint arXiv:1404.2188 (2014)","DOI":"10.3115\/v1\/P14-1062"},{"issue":"11","key":"53_CR6","doi-asserted-by":"crossref","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y LeCun","year":"1998","unstructured":"LeCun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 2278\u20132324 (1998)","journal-title":"Proc. IEEE"},{"key":"53_CR7","doi-asserted-by":"crossref","unstructured":"Mancini, M., Ach, L., Bantegnie, E., Baur, T., Berthouze, N., Datta, D., Ding, Y., Dupont, S., Griffin, H.J., Lingenfelser, F., Niewiadomski, R., Pelachaud, C., Pietquin, O., Piot, B., Urbain, J., Volpe, G., Wagner, J.: Laugh when you\u2019re winning, pp. 50\u201379 (2014). http:\/\/dx.doi.org\/10.1007\/978-3-642-55143-7_3","DOI":"10.1007\/978-3-642-55143-7_3"},{"key":"53_CR8","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":"53_CR9","unstructured":"Pennington, J., Socher, R., Manning, C.D.: Glove: global vectors for word representation. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, EMNLP 2014, 25-29 October 2014, Doha, Qatar, A meeting of SIGDAT, a Special Interest Group of the ACL, pp. 1532\u20131543 (2014). http:\/\/aclweb.org\/anthology\/D\/D14\/D14-1162.pdf"},{"issue":"2","key":"53_CR10","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1023\/A:1007649029923","volume":"39","author":"RE Schapire","year":"2000","unstructured":"Schapire, R.E., Singer, Y.: Boostexter: a boosting-based system for text categorization. Mach. Learn. 39(2), 135\u2013168 (2000)","journal-title":"Mach. Learn."},{"key":"53_CR11","unstructured":"Shen, Y., He, X., Gao, J., Deng, L., Mesnil, G.: Learning semantic representations using convolutional neural networks for web search. In: Proceedings of the 23rd International Conference on World Wide Web, WWW 2014 Companion, NY, USA, pp. 373\u2013374 (2014). http:\/\/doi.acm.org\/10.1145\/2567948.2577348"},{"issue":"2","key":"53_CR12","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1007\/s10462-010-9188-4","volume":"35","author":"J Silva","year":"2011","unstructured":"Silva, J., Coheur, L., Mendes, A.C., Wichert, A.: From symbolic to sub-symbolic information in question classification. Artif. Intell. Rev. 35(2), 137\u2013154 (2011)","journal-title":"Artif. Intell. Rev."},{"key":"53_CR13","doi-asserted-by":"crossref","DOI":"10.1002\/9781119992691","volume-title":"Spoken Language Understanding: Systems for Extracting Semantic Information from Speech","author":"G Tur","year":"2011","unstructured":"Tur, G., De Mori, R.: Spoken Language Understanding: Systems for Extracting Semantic Information from Speech. Wiley, Hoboken (2011)"},{"key":"53_CR14","doi-asserted-by":"crossref","unstructured":"Tur, G., Deng, L., Hakkani-T\u00fcr, D., He, X.: Towards deeper understanding: deep convex networks for semantic utterance classification. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 5045\u20135048. IEEE (2012)","DOI":"10.1109\/ICASSP.2012.6289054"},{"key":"53_CR15","doi-asserted-by":"crossref","unstructured":"Yih, W.t., He, X., Meek, C.: Semantic parsing for single-relation question answering. In: Proceedings of the ACL, pp. 643\u2013648 (2014)","DOI":"10.3115\/v1\/P14-2105"},{"key":"53_CR16","unstructured":"Zeiler, M.D.: Adadelta: an adaptive learning rate method. arXiv preprint arXiv:1212.5701 (2012)"}],"container-title":["Lecture Notes in Computer Science","Intelligent Virtual Agents"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-47665-0_53","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,14]],"date-time":"2019-09-14T14:38:29Z","timestamp":1568471909000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-47665-0_53"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319476643","9783319476650"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-47665-0_53","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}