Finding the “right” answers for customers

Frank Schilder


Abstract
This talk will present a few NLG systems developed within Thomson Reuters providing information to professionals such as lawyers, accountants or traders. Based on the experience developing these system, I will discuss the usefulness of automatic metrics, crowd-sourced evaluation, corpora studies and expert reviews. I will conclude with exploring the question of whether developers of NLG systems need to follow ethical guidelines and how those guidelines could be established.
Anthology ID:
W17-3510
Volume:
Proceedings of the 10th International Conference on Natural Language Generation
Month:
September
Year:
2017
Address:
Santiago de Compostela, Spain
Venues:
INLG | WS
SIG:
SIGGEN
Publisher:
Association for Computational Linguistics
Note:
Pages:
74
Language:
URL:
https://aclanthology.org/W17-3510
DOI:
10.18653/v1/W17-3510
Bibkey:
Cite (ACL):
Frank Schilder. 2017. Finding the “right” answers for customers. In Proceedings of the 10th International Conference on Natural Language Generation, page 74, Santiago de Compostela, Spain. Association for Computational Linguistics.
Cite (Informal):
Finding the “right” answers for customers (Schilder, 2017)
Copy Citation:
PDF:
https://aclanthology.org/W17-3510.pdf