MinkApp: generating spatio-temporal summaries for nature conservation volunteers.

Tintarev, Nava; Melero, Yolanda; Sripada, Somayajulu; Tait, Elizabeth; Van Der Wal, Rene; Mellish, Chris

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.

Citation

TINTAREV, N., MELERO, Y., SRIPADA, S., TAIT, E., VAN DER WAL, R. and MELLISH, C. 2012. MinkApp: generating spatio-temporal summaries for nature conservation volunteers. In Proceedings of the 7th International natural language generation conference (INLG 2012), 30 May - 1 June 2012, Utica, USA. Stroudsburg:ACL [online], pages 17-21. Available from: http://www.aclweb.org/anthology/W12-1505

• Conference Name: 7th International natural language generation conference (INLG 2012)
• Conference Location: Utica, USA
• Start Date: May 30, 2012
• End Date: Jun 1, 2012
• Acceptance Date: May 30, 2012
• Online Publication Date: May 30, 2012
• Publication Date: Jun 1, 2012
• Deposit Date: Oct 11, 2016
• Publicly Available Date: Oct 11, 2016
• Publisher: ACL Association for Computational Linguistics
• Pages: 71-21
• Keywords: Natural language generation (NLG); Nature conservation; Volunteers; Scottish mink initiative (SMI)
• Public URL: http://hdl.handle.net/10059/1878
• Publisher URL: http://www.aclweb.org/anthology/W12-1505