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Determining content for unknown users: lessons from the MinkApp case study.

Webster, Gemma; Sripada, Somayajulu G; Mellish, Chris; Melero, Yolanda; Arts, Koen; Lambin, Xavier; Wal, Rene Van Der

Authors

Somayajulu G Sripada

Chris Mellish

Yolanda Melero

Koen Arts

Xavier Lambin

Rene Van Der Wal



Abstract

If an NLG system needs to be put in place as soon as possible it is not always possible to know in advance who the us-ers of a system are or what kind of in-formation will interest them. This paper describes the development of a system and contextualized text for unknown us-ers. We describe the development, design and initial findings with a system for un-known users that allows the users to de-sign their own contextualised text.

Citation

Webster, G., Sripada, S. G., Mellish, C., Melero, Y., Arts, K., Lambin, X., & Wal, R. V. D. (2014, April). Determining content for unknown users: lessons from the MinkApp case study. Presented at Third International Conference on Natural Language Generation

Presentation Conference Type Conference Paper (published)
Conference Name Third International Conference on Natural Language Generation
Start Date Apr 14, 2014
End Date Apr 16, 2014
Publication Date 2014
Deposit Date Mar 4, 2016
Publicly Available Date Mar 4, 2016
Peer Reviewed Peer Reviewed
Book Title INLG 2014
Keywords NLG system; unknown users; Scottish Mink Initiative; MinkApp;
Public URL http://researchrepository.napier.ac.uk/id/eprint/9484
Contract Date Mar 4, 2016

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Determining_Content_for_Unknown_Users_Lessons_from_the_MinkApp_Case_Study.pdf (272 Kb)
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