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
- Editors:
- Jose M. Alonso, Alberto Bugarín, Ehud Reiter
- Venue:
- INLG
- SIG:
- SIGGEN
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 74
- Language:
- URL:
- https://aclanthology.org/W17-3510
- DOI:
- 10.18653/v1/W17-3510
- 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, INLG 2017)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/W17-3510.pdf