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        <title>Hotel Scribe: Generating High Variation Hotel Descriptions</title>
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        <namePart type="given">Saad</namePart>
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            <title>Proceedings of the 12th International Conference on Natural Language Generation</title>
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            <namePart type="given">Kees</namePart>
            <namePart type="family">van Deemter</namePart>
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        <name type="personal">
            <namePart type="given">Chenghua</namePart>
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    <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.</abstract>
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    <identifier type="doi">10.18653/v1/W19-8647</identifier>
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%0 Conference Proceedings
%T Hotel Scribe: Generating High Variation Hotel Descriptions
%A Mahamood, Saad
%A Zembrzuski, Maciej
%Y van Deemter, Kees
%Y Lin, Chenghua
%Y Takamura, Hiroya
%S Proceedings of the 12th International Conference on Natural Language Generation
%D 2019
%8 oct–nov
%I Association for Computational Linguistics
%C Tokyo, Japan
%F mahamood-zembrzuski-2019-hotel
%X 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.
%R 10.18653/v1/W19-8647
%U https://aclanthology.org/W19-8647/
%U https://doi.org/10.18653/v1/W19-8647
%P 391-396

Markdown (Informal)

[Hotel Scribe: Generating High Variation Hotel Descriptions](https://aclanthology.org/W19-8647/) (Mahamood & Zembrzuski, INLG 2019)

• Hotel Scribe: Generating High Variation Hotel Descriptions (Mahamood & Zembrzuski, INLG 2019)

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.