{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T00:28:21Z","timestamp":1743121701980,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":26,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811593222"},{"type":"electronic","value":"9789811593239"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[[2021]]},"DOI":"10.1007\/978-981-15-9323-9_5","type":"book-chapter","created":{"date-parts":[[2021,3,10]],"date-time":"2021-03-10T14:03:39Z","timestamp":1615385019000},"page":"53-65","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Transfer Learning for Unseen Slots in End-to-End Dialogue State Tracking"],"prefix":"10.1007","author":[{"given":"Kenji","family":"Iwata","sequence":"first","affiliation":[]},{"given":"Takami","family":"Yoshida","sequence":"additional","affiliation":[]},{"given":"Hiroshi","family":"Fujimura","sequence":"additional","affiliation":[]},{"given":"Masami","family":"Akamine","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,3,11]]},"reference":[{"key":"5_CR1","unstructured":"Wang Z, Lemon O (2013) A simple and generic belief tracking mechanism for the dialog state tracking challenge: on the believability of observed information. In: Proceedings of the SIGDIAL 2013 conference, pp 423\u2013432"},{"key":"5_CR2","doi-asserted-by":"crossref","unstructured":"Williams JD (2014) Web-style ranking and slu combination for dialog state tracking. In: Proceedings of the 15th annual meeting of the special interest group on discourse and dialogue (SIGDIAL), pp 282\u2013291","DOI":"10.3115\/v1\/W14-4339"},{"key":"5_CR3","doi-asserted-by":"crossref","unstructured":"Sun K, Chen L, Zhu S, Yu K (2014) A generalized rule based tracker for dialogue state tracking. In: 2014 IEEE spoken language technology workshop (SLT). IEEE, pp 330\u2013335","DOI":"10.1109\/SLT.2014.7078596"},{"key":"5_CR4","doi-asserted-by":"crossref","unstructured":"Perez J, Liu F (2017) Dialog state tracking, a machine reading approach using memory network. In: Proceedings of the 15th conference of the European chapter of the association for computational linguistics, vol\u00a01, pp 305\u2013314","DOI":"10.18653\/v1\/E17-1029"},{"key":"5_CR5","doi-asserted-by":"crossref","unstructured":"Rastogi A, Hakkani-T\u00fcr D, Heck L (2017) Scalable multi-domain dialogue state tracking. In: 2017 IEEE automatic speech recognition and understanding workshop (ASRU). IEEE, pp 561\u2013568","DOI":"10.1109\/ASRU.2017.8268986"},{"key":"5_CR6","doi-asserted-by":"crossref","unstructured":"Henderson M, Thomson B, Young S (2014) Word-based dialog state tracking with recurrent neural networks. In: Proceedings of the 15th annual meeting of the special interest group on discourse and dialogue (SIGDIAL), Philadelphia, PA, U.S.A., June 2014, Association for Computational Linguistics, pp 292\u2013299","DOI":"10.3115\/v1\/W14-4340"},{"key":"5_CR7","doi-asserted-by":"crossref","unstructured":"Henderson M, Thomson B, Young S (2014) Robust dialog state tracking using delexicalised recurrent neural networks and unsupervised adaptation. In: 2014 IEEE spoken language technology workshop (SLT). IEEE, pp 360\u2013365","DOI":"10.1109\/SLT.2014.7078601"},{"key":"5_CR8","doi-asserted-by":"crossref","unstructured":"Mrk\u0161i\u0107 N, S\u00e9aghdha D\u00d3, Thomson B, Gasic M, Su P-H, Vandyke D, Wen T-H, Young S (2015) Multi-domain dialog state tracking using recurrent neural networks. In: Proceedings of the 53rd annual meeting of the association for computational linguistics and the 7th international joint conference on natural language processing, vol\u00a02, pp 794\u2013799","DOI":"10.3115\/v1\/P15-2130"},{"key":"5_CR9","unstructured":"Lukas Z, Filip J (2015) Incremental lstm-based dialog state tracker. In: IEEE workshop on automatic speech recognition and understanding (ASRU). IEEE, pp 757\u2013762"},{"key":"5_CR10","doi-asserted-by":"crossref","unstructured":"Yoshida T, Iwata K, Fujimura H, Akamine M (2018) Dialog state tracking for unseen values using an extended attention mechanism. In: Proceedings of the 8th international workshop on spoken dialogue systems (IWSDS)","DOI":"10.1007\/978-981-13-9443-0_7"},{"key":"5_CR11","doi-asserted-by":"crossref","unstructured":"Mrk\u0161i\u0107 N, Vuli\u0107 I (2018) Fully statistical neural belief tracking. In: Proceedings of the 56th annual meeting of the association for computational linguistics, vol 2, pp 108\u2013113","DOI":"10.18653\/v1\/P18-2018"},{"key":"5_CR12","doi-asserted-by":"crossref","unstructured":"Xu P, Hu Q (2018) An end-to-end approach for handling unknown slot values in dialogue state tracking. In: Proceedings of the 56th annual meeting of the association for computational linguistics","DOI":"10.18653\/v1\/P18-1134"},{"key":"5_CR13","doi-asserted-by":"crossref","unstructured":"Zhong V, Xiong C, Socher R (2018) Global-locally self-attentive dialogue state tracker. In: Proceedings of the 56th annual meeting of the association for computational linguistics","DOI":"10.18653\/v1\/P18-1135"},{"key":"5_CR14","doi-asserted-by":"crossref","unstructured":"Ramadan O, Budzianowski P, Ga\u0161i\u0107 M (2018) Large-scale multi-domain belief tracking with knowledge sharing. In: Proceedings of the 56th annual meeting of the association for computational linguistics","DOI":"10.18653\/v1\/P18-2069"},{"key":"5_CR15","unstructured":"Pan SJ, Yang Q (2010) A survey on transfer learning. IEEE Trans Knowl Data Eng 22(10):1345\u20131359"},{"key":"5_CR16","unstructured":"Dong W, Fang ZT (2015) Transfer learning for speech and language processing. In: 2015 Asia-Pacific Signal and information processing association annual summit and conference (APSIPA). IEEE, pp. 1225\u20131237"},{"issue":"4","key":"5_CR17","first-page":"29","volume":"16","author":"P Passban","year":"2017","unstructured":"Passban P, Liu Q, Way A (2017) Translating low-resource languages by vocabulary adaptation from close counterparts. ACM Trans Asian Low-Resour Lang Inf Process (TALLIP) 16(4):29","journal-title":"ACM Trans Asian Low-Resour Lang Inf Process (TALLIP)"},{"key":"5_CR18","doi-asserted-by":"crossref","unstructured":"Yu J, Qiu M, Jiang J, Huang J, Song S, Chu W, Chen H (2018) Modelling domain relationships for transfer learning on retrieval-based question answering systems in e-commerce. In: Proceedings of the 11th ACM international conference on web search and data mining. ACM, pp 682\u2013690","DOI":"10.1145\/3159652.3159685"},{"key":"5_CR19","unstructured":"Lee JY, Dernoncourt F, Szolovits P (2018) Transfer learning for named-entity recognition with neural networks. In: 11th international conference on language resources and evaluation (LREC)"},{"key":"5_CR20","doi-asserted-by":"crossref","unstructured":"Jeong M, Lee GG (2009) Multi-domain spoken language understanding with transfer learning. Speech Commun 51(5):412\u2013424","DOI":"10.1016\/j.specom.2009.01.001"},{"key":"5_CR21","unstructured":"Kim Y-B, Stratos K, Sarikaya R, Jeong M (2015) New transfer learning techniques for disparate label sets. In: Proceedings of the 53rd annual meeting of the association for computational linguistics and the 7th international joint conference on natural language processing, vol\u00a01, pp 473\u2013482"},{"key":"5_CR22","doi-asserted-by":"crossref","unstructured":"Bapna A, Tur G, Hakkani-Tur D, Heck L (2017) Towards zero-shot frame semantic parsing for domain scaling. In: Proceedings of the interspeech, pp 2476\u20132480","DOI":"10.21437\/Interspeech.2017-518"},{"key":"5_CR23","doi-asserted-by":"crossref","unstructured":"Henderson M, Thomson B, Williams J (2014) The second dialog state tracking challenge. In: 15th annual meeting of the special interest group on discourse and dialogue, vol 263","DOI":"10.3115\/v1\/W14-4337"},{"key":"5_CR24","unstructured":"Tokui S, Oono K, Hido S, Clayton J (2015) Chainer: a next-generation open source framework for deep learning. In: Proceedings of workshop on machine learning systems (LearningSys) in the twenty-ninth annual conference on neural information processing systems (NIPS)"},{"key":"5_CR25","doi-asserted-by":"crossref","unstructured":"Pennington J, Socher R, Manning CD (2014) Glove: global vectors for word representation. In: Empirical methods in natural language processing (EMNLP), pp 1532\u20131543","DOI":"10.3115\/v1\/D14-1162"},{"key":"5_CR26","doi-asserted-by":"crossref","unstructured":"Iyyer M, Manjunatha V, Boyd-Graber J, Daum\u00e9\u00a0III H (2015) Deep unordered composition rivals syntactic methods for text classification. In: Proceedings of the 53rd annual meeting of the association for computational linguistics and the 7th international joint conference on natural language processing, vol\u00a01, pp 1681\u20131691","DOI":"10.3115\/v1\/P15-1162"}],"container-title":["Lecture Notes in Electrical Engineering","Increasing Naturalness and Flexibility in Spoken Dialogue Interaction"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-9323-9_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,10]],"date-time":"2021-03-10T14:07:36Z","timestamp":1615385256000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-9323-9_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9789811593222","9789811593239"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-9323-9_5","relation":{},"ISSN":["1876-1100","1876-1119"],"issn-type":[{"type":"print","value":"1876-1100"},{"type":"electronic","value":"1876-1119"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"11 March 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}