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

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


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.
Anthology ID:
W18-6551
Volume:
Proceedings of the 11th International Conference on Natural Language Generation
Month:
November
Year:
2018
Address:
Tilburg University, The Netherlands
Venue:
INLG
SIG:
SIGGEN
Publisher:
Association for Computational Linguistics
Note:
Pages:
421–425
Language:
URL:
https://aclanthology.org/W18-6551
DOI:
10.18653/v1/W18-6551
Bibkey:
Cite (ACL):
Alejandro Ramos-Soto, Ehud Reiter, Kees van Deemter, Jose Alonso, and Albert Gatt. 2018. Meteorologists and Students: A resource for language grounding of geographical descriptors. In Proceedings of the 11th International Conference on Natural Language Generation, pages 421–425, Tilburg University, The Netherlands. Association for Computational Linguistics.
Cite (Informal):
Meteorologists and Students: A resource for language grounding of geographical descriptors (Ramos-Soto et al., INLG 2018)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingestion-script-update/W18-6551.pdf