MinkApp: generating spatio-temporal summaries for nature conservation volunteers

Authors:
Nava Tintarev;Yolanda Melero;Somayajulu Sripada;Elizabeth Tait;Rene Van Der Wal;Chris Mellish
Affiliations:
University of Aberdeen;University of Aberdeen;University of Aberdeen;University of Aberdeen;University of Aberdeen;University of Aberdeen
Venue:
INLG '12 Proceedings of the Seventh International Natural Language Generation Conference
Year:
2012

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Abstract

We describe preliminary work on generating contextualized text for nature conservation volunteers. This Natural Language Generation (NLG) differs from other ways of describing spatio-temporal data, in that it deals with abstractions on data across large geographical spaces (total projected area 20,600 km2), as well as temporal trends across longer time frames (ranging from one week up to a year). We identify challenges at all stages of the classical NLG pipeline.