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

Alejandro Ramos-Soto, Ehud Baruch Reiter, Kees Jacobus Van Deemter, Jose Alonso, Albert Gatt

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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.
Original languageEnglish
Title of host publicationProceedings of the 11th International Conference on Natural Language Generation
Place of PublicationNetherlands
PublisherAssociation for Computational Linguistics (ACL)
Pages421-425
Number of pages425
Publication statusPublished - Nov 2018
EventThe 11th International Conference on Natural Language Generation : INLG 2018 - Tilburg University, Tilburg, Netherlands
Duration: 5 Nov 20188 Nov 2018

Conference

ConferenceThe 11th International Conference on Natural Language Generation
CountryNetherlands
CityTilburg
Period5/11/188/11/18

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    Ramos-Soto, A., Reiter, E. B., Van Deemter, K. J., Alonso, J., & Gatt, A. (2018). Meteorologists and Students: A resource for language grounding of geographical descriptors. In Proceedings of the 11th International Conference on Natural Language Generation (pp. 421-425). Association for Computational Linguistics (ACL). https://www.aclweb.org/anthology/W18-6551/