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

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). Determining content for unknown users: lessons from the MinkApp case study. In INLG 2014

• 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