Natural language generation for spoken dialogue system using RNN encoder-decoder networks Tran, Van Khanh and Nguyen, Le-Minh 2017, Natural language generation for spoken dialogue system using RNN encoder-decoder networks, in CoNLL 2017 : Proceedings of the 21st Conference on Computational Natural Language Learning, Association for Computational Linguistics, Stroudsburg, Pa., pp. 442-451, doi: 10.18653/v1/k17-1044. Attached Files Name Description MIMEType Size Downloads Title Natural language generation for spoken dialogue system using RNN encoder-decoder networks Author(s) Tran, Van Khanh orcid.org/0000-0002-3445-2596 Nguyen, Le-Minh Conference name Association for Computational Linguistics. Conference (21st : 2017 : Vancouver, B.C.) Conference location Vancouver, B.C. Conference dates 2017/08/03 - 2017/08/04 Title of proceedings CoNLL 2017 : Proceedings of the 21st Conference on Computational Natural Language Learning Editor(s) [Unknown] Publication date 2017 Series Association for Computational Linguistics Conference Start page 442 End page 451 Total pages 10 Publisher Association for Computational Linguistics Place of publication Stroudsburg, Pa. Keyword(s) Natural language generation (NLG) Spoken dialogue system Recurrent Neural Network Encoder-Decoder ISBN 978-1-945626-54-8 Language eng DOI 10.18653/v1/k17-1044 HERDC Research category E1.1 Full written paper - refereed Copyright notice ©2017, Association for Computational Linguistics Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30122096 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment Centre for Pattern Recognition and Data Analytics (PRADA) Open Access Collection Related Links Link Description Link to full-text (open access)   Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Mon, 27 May 2019, 15:21:41 EST Mon, 27 May 2019, 15:23:48 EST Tue, 28 May 2019, 05:00:58 EST Tue, 28 May 2019, 06:03:32 EST Wed, 29 May 2019, 09:08:00 EST Wed, 29 May 2019, 09:09:42 EST Wed, 29 May 2019, 09:10:35 EST Fri, 15 Nov 2019, 10:35:17 EST Sun, 28 Feb 2021, 04:35:15 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 95 Abstract Views, 4 File Downloads  -  Detailed Statistics Created: Mon, 27 May 2019, 15:23:48 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.