Determining Content for Unknown Users: Lessons from the MinkApp Case Study

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

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 users of a system are or what kind of information will interest them. This paper describes the development of a system and contextualized text for unknown users. We describe the development, design and initial findings with a system for unknown users that allows the users to design their own contextualised text.

Original languageEnglish
Title of host publicationINLG 2014 - Proceedings of the 8th International Natural Language Generation Conference,
Subtitle of host publicationincluding - Proceedings of the INLG and SIGDIAL 2014 Joint Session
EditorsMargaret Mitchell, Kathleen McCoy, David McDonald, Aoife Cahill
PublisherAssociation for Computational Linguistics (ACL)
Pages113-117
Number of pages5
ISBN (Electronic)9781941643228
DOIs
Publication statusPublished - Jun 2014
Event8th International Natural Language Generation Conference, INLG 2014 - Philadelphia, United States
Duration: 19 Jun 201421 Jun 2014

Conference

Conference8th International Natural Language Generation Conference, INLG 2014
Country/TerritoryUnited States
CityPhiladelphia
Period19/06/1421/06/14

ASJC Scopus subject areas

  • Software

Cite this