MinkApp: Generating Spatio-temporal Summaries for Nature Conservation Volunteers
نویسندگان
چکیده
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 km), 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.
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تاریخ انتشار 2012