Meteorologists and Students: A resource for language grounding of geographical descriptors

Ramos-Soto, Alejandro, Reiter, Ehud, van Deemter, Kees, Alonso, Jose M., Gatt, Albert

arXiv.org Artificial Intelligence 

We present a data resource which can be useful for research purposes on language grounding tasks in the context of geographical referring expression generation. The resource is composed of two data sets that encompass 25 different geographical descriptors and a set of associated graphical representations, drawn as polygons on a map by two groups of human subjects: teenage students and expert meteorologists.

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