{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T00:51:27Z","timestamp":1740099087305,"version":"3.37.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319773827"},{"type":"electronic","value":"9783319773834"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","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":[[2018]]},"DOI":"10.1007\/978-3-319-77383-4_37","type":"book-chapter","created":{"date-parts":[[2018,5,9]],"date-time":"2018-05-09T17:02:26Z","timestamp":1525885346000},"page":"378-387","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Attention Window Aware Encoder-Decoder Model for Spoken Language Understanding"],"prefix":"10.1007","author":[{"given":"Yiming","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenge","family":"Rong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingshuang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingfei","family":"Han","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhang","family":"Xiong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,5,10]]},"reference":[{"key":"37_CR1","unstructured":"Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate (2014). CoRR abs\/1409.0473"},{"key":"37_CR2","doi-asserted-by":"crossref","unstructured":"Hemphill, C.T., Godfrey, J.J., Doddington, G.R.: The ATIS spoken language systems pilot corpus. In: Proceedings of the DARPA Speech and Natural Language Workshop, pp. 96\u2013101 (1990)","DOI":"10.3115\/116580.116613"},{"key":"37_CR3","unstructured":"J\u00f3zefowicz, R., Zaremba, W., Sutskever, I.: An empirical exploration of recurrent network architectures. In: Proceedings of 32nd International Conference on Machine Learning, pp. 2342\u20132350 (2015)"},{"key":"37_CR4","doi-asserted-by":"crossref","unstructured":"Kudo, T., Matsumoto, Y.: Chunking with support vector machines. In: Proceedings of 2nd Meeting of the North American Chapter of the Association for Computational Linguistics on Language Technologies (2001)","DOI":"10.3115\/1073336.1073361"},{"key":"37_CR5","unstructured":"Lafferty, J.D., McCallum, A., Pereira, F.C.N.: Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In: Proceedings of 18th International Conference on Machine Learning, pp. 282\u2013289 (2001)"},{"key":"37_CR6","unstructured":"Lin, Y., Pang, Z., Wang, D., Zhuang, Y.: Task-driven visual saliency and attention-based visual question answering (2017). CoRR abs\/1702.06700"},{"key":"37_CR7","unstructured":"Liu, B., Lane, I.: Recurrent neural network structured output prediction for spoken language understanding. In: Proceedings of 2015 NIPS Workshop on Machine Learning for Spoken Language Understanding and Interactions (2015)"},{"key":"37_CR8","doi-asserted-by":"crossref","unstructured":"Luong, M.T., Pham, H., Manning, C.D.: Effective approaches to attention-based neural machine translation. In: Proceedings of 2015 Conference on Empirical Methods in Natural Language Processing, pp. 1412\u20131421 (2015)","DOI":"10.18653\/v1\/D15-1166"},{"issue":"3","key":"37_CR9","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., Bengio, Y., Deng, L., Hakkani-T\u00fcr, D.Z., He, X., Heck, L.P., T\u00fcr, G., Yu, D., Zweig, G.: 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":"37_CR10","doi-asserted-by":"crossref","unstructured":"Mesnil, G., He, X., Deng, L., Bengio, Y.: Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding. In: Proceedings of 14th Annual Conference of the International Speech Communication Association, pp. 3771\u20133775 (2013)","DOI":"10.21437\/Interspeech.2013-596"},{"key":"37_CR11","doi-asserted-by":"crossref","unstructured":"Shi, Y., Yao, K., Chen, H., Pan, Y., Hwang, M., Peng, B.: Contextual spoken language understanding using recurrent neural networks. In: Proceedings of 2015 IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 5271\u20135275 (2015)","DOI":"10.1109\/ICASSP.2015.7178977"},{"key":"37_CR12","unstructured":"Sutskever, I., Vinyals, O., Le, Q.V.: Sequence to sequence learning with neural networks. In: Proceedings of 2014 Annual Conference on Neural Information Processing Systems, pp. 3104\u20133112 (2014)"},{"key":"37_CR13","doi-asserted-by":"crossref","unstructured":"Vu, N.T.: Sequential convolutional neural networks for slot filling in spoken language understanding. In: Proceedings of 17th Annual Conference of the International Speech Communication Association, pp. 3250\u20133254 (2016)","DOI":"10.21437\/Interspeech.2016-395"},{"key":"37_CR14","doi-asserted-by":"crossref","unstructured":"Xu, P., Sarikaya, R.: Convolutional neural network based triangular CRF for joint intent detection and slot filling. In: Proceedings of 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, pp. 78\u201383 (2013)","DOI":"10.1109\/ASRU.2013.6707709"},{"key":"37_CR15","doi-asserted-by":"crossref","unstructured":"Yao, K., Peng, B., Zhang, Y., Yu, D., Zweig, G., Shi, Y.: Spoken language understanding using long short-term memory neural networks. In: Proceedings of 2014 IEEE Spoken Language Technology Workshop, pp. 189\u2013194 (2014)","DOI":"10.1109\/SLT.2014.7078572"},{"key":"37_CR16","doi-asserted-by":"crossref","unstructured":"Yao, K., Zweig, G., Hwang, M., Shi, Y., Yu, D.: Recurrent neural networks for language understanding. In: Proceedings of 14th Annual Conference of the International Speech Communication Association, pp. 2524\u20132528 (2013)","DOI":"10.21437\/Interspeech.2013-569"}],"container-title":["Lecture Notes in Computer Science","Advances in Multimedia Information Processing \u2013 PCM 2017"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-77383-4_37","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,23]],"date-time":"2022-08-23T00:30:41Z","timestamp":1661214641000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-77383-4_37"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319773827","9783319773834"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-77383-4_37","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]}}}