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Semantics-enhanced task-oriented dialogue translation: a case Study on hotel booking

Wang, Longyue orcid logoORCID: 0000-0002-9062-6183, Du, Jinhua orcid logoORCID: 0000-0002-3267-4881, Li, Liangyou orcid logoORCID: 0000-0002-0279-003X, Tu, Zhaopeng, Way, Andy orcid logoORCID: 0000-0001-5736-5930 and Liu, Qun orcid logoORCID: 0000-0002-7000-1792 (2017) Semantics-enhanced task-oriented dialogue translation: a case Study on hotel booking. In: 8th International Joint Conference on Natural Language Processing (IJCNLP 2017), 27 Nov-1 Dec 2017, Taipei, Taiwan.

Abstract
We showcase TODAY, a semanticsenhanced task-oriented dialogue translation system, whose novelties are: (i) taskoriented named entity (NE) definition and a hybrid strategy for NE recognition and translation; and (ii) a novel grounded semantic method for dialogue understanding and task-order management. TODAY is a case-study demo which can efficiently and accurately assist customers and agents in different languages to reach an agreement in a dialogue for the hotel booking.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Subjects:Computer Science > Machine translating
DCU Faculties and Centres:UNSPECIFIED
Published in: Park, Seong-Bae and Supnithi, Thepchai, (eds.) IJCNLP 2017 Proceedings: System Demonstrations. 3. Association for Computational Linguistics (ACL).
Publisher:Association for Computational Linguistics (ACL)
Official URL:https://www.aclweb.org/anthology/I17-3009
Copyright Information:© 2017 AFNLP
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation of Ireland (SFI) ADAPT project (Grant No.:13/RC/2106), DCU-Huawei Joint Project (Grant No.:201504032- A (DCU), YB2015090061 (Huawei))
ID Code:23369
Deposited On:28 May 2019 13:47 by Thomas Murtagh . Last Modified 28 May 2019 13:47
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