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

September 07, 2018 ยท Declared Dead ยท ๐Ÿ› International Conference on Natural Language Generation

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Authors Alejandro Ramos-Soto, Ehud Reiter, Kees van Deemter, Jose M. Alonso, Albert Gatt arXiv ID 1809.02494 Category cs.CL: Computation & Language Cross-listed cs.AI Citations 1 Venue International Conference on Natural Language Generation Last Checked 6 months ago
Abstract
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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