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

Research Output

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.

Date:

31 December 2014
Publication Status:

Published
Library of Congress:

QA75 Electronic computers. Computer science
Dewey Decimal Classification:

006.3 Artificial intelligence

http://researchrepository.napier.ac.uk/output/180831 <p>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 <i>INLG 2014</i></p>

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