Robust Deep Reinforcement Learning for Extractive Legal Summarization Nguyen, DH, Nguyen, BS, Nghiem, NVD, Le, DT, Khatun, MA, Nguyen, MT and Le, Hung 2021, Robust Deep Reinforcement Learning for Extractive Legal Summarization, in ICONIP 2018: Proceedings of the Neural Information Processing Conference, Springer, Berlin, Germany, pp. 597-604, doi: 10.1007/978-3-030-92310-5_69. Attached Files Name Description MIMEType Size Downloads Title Robust Deep Reinforcement Learning for Extractive Legal Summarization Author(s) Nguyen, DH Nguyen, BS Nghiem, NVD Le, DT Khatun, MA Nguyen, MT Le, Hung orcid.org/0000-0002-3126-184X Conference name Neural Information Processing. International Conference (28th : 2018 : Sanur, Bali, Indonesia) Conference location Sanur, Bali, Indonesia Conference dates 2021/12/08 - 2021/12/12 Title of proceedings ICONIP 2018: Proceedings of the Neural Information Processing Conference Editor(s) Mantoro, T Lee, M Ayu, MA Wong, KW Hidayanto, AN Publication date 2021 Start page 597 End page 604 Total pages 8 Publisher Springer Place of publication Berlin, Germany Keyword(s) legal document summarization reinforcement learning ISBN 9783030923099 ISSN 1865-0929 1865-0937 DOI 10.1007/978-3-030-92310-5_69 HERDC Research category E1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30161735 Document type: Conference Paper Collection: A2I2 (Applied Artificial Intelligence Institute) Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system 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. Versions Version Filter Type Thu, 20 Jan 2022, 07:09:26 EST Thu, 20 Jan 2022, 15:19:48 EST Tue, 01 Feb 2022, 11:16:03 EST Wed, 02 Feb 2022, 05:03:49 EST Wed, 04 May 2022, 11:19:30 EST Wed, 04 May 2022, 16:04:06 EST Wed, 04 May 2022, 16:53:59 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 5 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Tue, 01 Feb 2022, 11:16:03 EST