Semantics-Enhanced Task-Oriented Dialogue Translation: A Case Study on Hotel Booking

Longyue Wang, Jinhua Du, Liangyou Li, Zhaopeng Tu, Andy Way, Qun Liu


Abstract
We showcase TODAY, a semantics-enhanced task-oriented dialogue translation system, whose novelties are: (i) task-oriented 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.
Anthology ID:
I17-3009
Volume:
Proceedings of the IJCNLP 2017, System Demonstrations
Month:
November
Year:
2017
Address:
Tapei, Taiwan
Editors:
Seong-Bae Park, Thepchai Supnithi
Venue:
IJCNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
33–36
Language:
URL:
https://aclanthology.org/I17-3009
DOI:
Bibkey:
Cite (ACL):
Longyue Wang, Jinhua Du, Liangyou Li, Zhaopeng Tu, Andy Way, and Qun Liu. 2017. Semantics-Enhanced Task-Oriented Dialogue Translation: A Case Study on Hotel Booking. In Proceedings of the IJCNLP 2017, System Demonstrations, pages 33–36, Tapei, Taiwan. Association for Computational Linguistics.
Cite (Informal):
Semantics-Enhanced Task-Oriented Dialogue Translation: A Case Study on Hotel Booking (Wang et al., IJCNLP 2017)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-4/I17-3009.pdf