Abstract
This paper describes the implementation of the Hotel Scribe system. A commercial Natural Language Generation (NLG) system which generates descriptions of hotels from accommodation metadata with a high level of content and linguistic variation in English. It has been deployed live by *Anonymised Company Name* for the purpose of improving coverage of accommodation descriptions and for Search Engine Optimisation (SEO). In this paper, we describe the motivation for building this system, the challenges faced when dealing with limited metadata, and the implementation used to generate the highly variate accommodation descriptions. Additionally, we evaluate the uniqueness of the texts generated by our system against comparable human written accommodation description texts.- Anthology ID:
- W19-8647
- Volume:
- Proceedings of the 12th International Conference on Natural Language Generation
- Month:
- October–November
- Year:
- 2019
- Address:
- Tokyo, Japan
- Editors:
- Kees van Deemter, Chenghua Lin, Hiroya Takamura
- Venue:
- INLG
- SIG:
- SIGGEN
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 391–396
- Language:
- URL:
- https://aclanthology.org/W19-8647
- DOI:
- 10.18653/v1/W19-8647
- Cite (ACL):
- Saad Mahamood and Maciej Zembrzuski. 2019. Hotel Scribe: Generating High Variation Hotel Descriptions. In Proceedings of the 12th International Conference on Natural Language Generation, pages 391–396, Tokyo, Japan. Association for Computational Linguistics.
- Cite (Informal):
- Hotel Scribe: Generating High Variation Hotel Descriptions (Mahamood & Zembrzuski, INLG 2019)
- PDF:
- https://preview.aclanthology.org/naacl24-info/W19-8647.pdf