@inproceedings { , title = {Determining content for unknown users: lessons from the MinkApp case study.}, 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.}, conference = {Third International Conference on Natural Language Generation}, note = {Conference dates: 14 - 16 April 2014 School: iidi}, organization = {Brockenhurst , United Kingdom}, publicationstatus = {Published}, url = {http://researchrepository.napier.ac.uk/id/eprint/9484}, keyword = {006.3 Artificial intelligence, QA75 Electronic computers. Computer science, Centre for Social Informatics, NLG system, unknown users, Scottish Mink Initiative, MinkApp;}, year = {2024}, author = {Webster, Gemma and Sripada, Somayajulu G and Mellish, Chris and Melero, Yolanda and Arts, Koen and Lambin, Xavier and Wal, Rene Van Der} }