{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T06:01:59Z","timestamp":1757311319084,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030234065"},{"type":"electronic","value":"9783030234072"}],"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"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","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\/978-3-030-23407-2_2","type":"book-chapter","created":{"date-parts":[[2019,6,18]],"date-time":"2019-06-18T12:03:10Z","timestamp":1560859390000},"page":"12-25","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Neural Framework for Joint Prediction on Intent Identification and Slot Filling"],"prefix":"10.1007","author":[{"given":"Jiawei","family":"Shan","sequence":"first","affiliation":[]},{"given":"Huayun","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Zeyang","family":"Gong","sequence":"additional","affiliation":[]},{"given":"Hanchen","family":"Su","sequence":"additional","affiliation":[]},{"given":"Xu","family":"Han","sequence":"additional","affiliation":[]},{"given":"Binyang","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,6,19]]},"reference":[{"key":"2_CR1","unstructured":"De, A., Kopparapu, S.K.: A Rule-Based Short Query Intent Identification System. Submitted on 25 Mar 2015"},{"issue":"1","key":"2_CR2","first-page":"58","volume":"30","author":"X Song","year":"2016","unstructured":"Song, X., Zheng, Y., Cao, H.: Research on driver\u2019s lane change intention recognition based on HMM and SVM. J. Electron. Meas. Instrum. 30(1), 58\u201365 (2016)","journal-title":"J. Electron. Meas. Instrum."},{"issue":"1","key":"2_CR3","doi-asserted-by":"publisher","first-page":"e15","DOI":"10.1016\/j.diabres.2010.06.009","volume":"90","author":"A Worachartcheewan","year":"2010","unstructured":"Worachartcheewan, A., Nantasenamat, C.: Identification of metabolic syndrome using decision tree analysis. Diabetes Res. Clin. Prac. 90(1), e15\u2013e18 (2010)","journal-title":"Diabetes Res. Clin. Prac."},{"key":"2_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"500","DOI":"10.1007\/978-3-319-68548-9_46","volume-title":"Image Analysis and Processing - ICIAP 2017","author":"G Turra","year":"2017","unstructured":"Turra, G., Arrigoni, S., Signoroni, A.: CNN-based identification of hyperspectral bacterial signatures for digital microbiology. In: Battiato, S., Gallo, G., Schettini, R., Stanco, F. (eds.) ICIAP 2017. LNCS, vol. 10485, pp. 500\u2013510. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-68548-9_46"},{"key":"2_CR5","doi-asserted-by":"crossref","unstructured":"Ren, J., et al.: Look, Listen and Learn - A Multimodal LSTM for Speaker Identification. Accessed 13 Feb 2016","DOI":"10.1609\/aaai.v30i1.10471"},{"key":"2_CR6","unstructured":"Rezaei, B.A., Roychowdhury, V., Ghate, S., Khajehnouri, N., Boscolo, R., Mracek, J.: Concept-level user intent profile extraction and applications. Accessed 03 June 2014"},{"issue":"1","key":"2_CR7","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1109\/MASSP.1986.1165342","volume":"3","author":"LR Rabiner","year":"1986","unstructured":"Rabiner, L.R., Juang, B.H.: An introduction to HMMs. IEEE ASSP Mag. 3(1), 4\u201316 (1986)","journal-title":"IEEE ASSP Mag."},{"key":"2_CR8","doi-asserted-by":"crossref","unstructured":"Wang, Y.-Y., Acero, A.: Combination of CFG and n-gram modeling in semantic grammar learning. In: European Conference on Speech Communication & Technology, pp. 2809\u20132812 (2003)","DOI":"10.21437\/Eurospeech.2003-748"},{"issue":"6","key":"2_CR9","first-page":"132","volume":"31","author":"X SUN","year":"2017","unstructured":"SUN, X., WANG, H.: Intent determination and slot filling in question answering. J. Chin. Inf. Process. 31(6), 132\u2013139 (2017)","journal-title":"J. Chin. Inf. Process."},{"issue":"1\u20132","key":"2_CR10","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/0004-3702(90)90005-K","volume":"46","author":"JBF Pollack","year":"1990","unstructured":"Pollack, J.B.F.: Recursive distributed representations. Artif. Intell. 46(1\u20132), 77\u2013105 (1990)","journal-title":"Artif. Intell."},{"key":"2_CR11","unstructured":"Lafferty, J., McCallum, A., Pereira, F.C.: Conditional random fields: probabilistic models for segmenting and labeling sequence data. In: Proceedings 18th International Conference on Machine Learning, pp. 282\u2013289. Morgan Kaufmann (2001)"},{"key":"2_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 25th International Conference on Machine Learning. ICML 2008, pp.160\u2013167. ACM, New York, 01 January 2008","DOI":"10.1145\/1390156.1390177"},{"issue":"8","key":"2_CR13","first-page":"707","volume":"10","author":"VI Levenshtein","year":"1966","unstructured":"Levenshtein, V.I.: Binary codes capable of correcting deletions, insertions, and reversals. Sov. Phys. Dokl. 10(8), 707\u2013710 (1966)","journal-title":"Sov. Phys. Dokl."},{"key":"2_CR14","unstructured":"Huang, Z., Xu, W., Yu, K.: Bidirectional LSTM-CRF Models for Sequence Tagging. Computer Science (2015)"},{"issue":"3","key":"2_CR15","doi-asserted-by":"publisher","first-page":"530","DOI":"10.1109\/TASLP.2014.2383614","volume":"23","author":"G Mesnil","year":"2015","unstructured":"Mesnil, G., Dauphin, Y., Yao, K.: Using recurrent neural networks for slot filling in spoken language understanding. IEEE\/ACM Trans. Audio Speech Lang. Process. 23(3), 530\u2013539 (2015)","journal-title":"IEEE\/ACM Trans. Audio Speech Lang. Process."},{"key":"2_CR16","doi-asserted-by":"crossref","unstructured":"Yao, K., Peng, B., Zweig, G., Yu, D., Li, X., Gao, F.: Recurrent conditional random fields for language understanding. In: ICASSP (2014)","DOI":"10.1109\/ICASSP.2014.6854368"},{"key":"2_CR17","first-page":"273","volume":"20","author":"C Cortes","year":"1995","unstructured":"Cortes, C., Vapnik, V.: Support-vector networks. Mach. Learn. 20, 273\u2013297 (1995)","journal-title":"Mach. Learn."},{"key":"2_CR18","doi-asserted-by":"crossref","unstructured":"Joulin, A., Grave, E., Bojanowski, P., Mikolov, T.: Bag of Tricks for Efficient Text Classification. arXiv preprint arXiv:1607.01759 (2016)","DOI":"10.18653\/v1\/E17-2068"},{"issue":"4","key":"2_CR19","doi-asserted-by":"publisher","first-page":"541","DOI":"10.1162\/neco.1989.1.4.541","volume":"1","author":"Y Lecun","year":"1989","unstructured":"Lecun, Y., Boser, B., Denker, J.S., et al.: Backpropagation applied to handwritten zip code recognition. Neural Comput. 1(4), 541\u2013551 (1989)","journal-title":"Neural Comput."},{"key":"2_CR20","doi-asserted-by":"crossref","unstructured":"Graves, A., Mohamed, A., Hinton, G.: Speech Recognition with Deep Recurrent Neural Networks. arxiv (2013)","DOI":"10.1109\/ICASSP.2013.6638947"},{"issue":"8","key":"2_CR21","doi-asserted-by":"publisher","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). https:\/\/doi.org\/10.1162\/neco.1997.9.8.1735. PMID 9377276","journal-title":"Neural Comput."},{"key":"2_CR22","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"468","DOI":"10.1007\/978-3-319-99501-4_46","volume-title":"Natural Language Processing and Chinese Computing","author":"X Zhao","year":"2018","unstructured":"Zhao, X., Cao, Y.: Overview of the NLPCC 2018 shared task: spoken language understanding in task-oriented dialog systems. In: Zhang, M., Ng, V., Zhao, D., Li, S., Zan, H. (eds.) NLPCC 2018. LNCS (LNAI), vol. 11109, pp. 468\u2013478. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-99501-4_46"}],"container-title":["Lecture Notes in Computer Science","Cognitive Computing \u2013 ICCC 2019"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-23407-2_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,21]],"date-time":"2022-09-21T01:21:24Z","timestamp":1663723284000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-23407-2_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030234065","9783030234072"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-23407-2_2","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":"19 June 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Cognitive Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"San Diego, CA","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","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":"25 June 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 June 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccc2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/thecognitivecomputing.org\/2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}