MinkApp: Generating spatio-temporal summaries for nature conservation volunteers

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

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

4 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationINLG 2012 - Proceedings of the 7th International Natural Language Generation Conference
PublisherAssociation for Computational Linguistics (ACL)
Pages17-21
Number of pages5
ISBN (Electronic)9781937284237
Publication statusPublished - 2012
Event7th International Natural Language Generation Conference, INLG 2012 - Utica, United States
Duration: 30 May 20121 Jun 2012

Conference

Conference7th International Natural Language Generation Conference, INLG 2012
Country/TerritoryUnited States
CityUtica
Period30/05/121/06/12

Bibliographical note

Publisher Copyright:
© 2012 The Association for Computational Linguistics.

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