Fuzzy-Based Language Grounding of Geographical References: From Writers to Readers
- 10.2991/ijcis.d.190826.002How to use a DOI?
- Natural language generation; Linguistic descriptions of data; Data-to-text; Geo-referenced data; Language grounding; Fuzzy sets
We describe an applied methodology to build fuzzy models of geographical expressions, which are meant to be used for natural language generation purposes. Our approach encompasses a language grounding task within the development of an actual data-to-text system for the generation of textual descriptions of live weather data. For this, we gathered data from meteorologists through a survey and built consistent fuzzy models that aggregate the interpersonal variations found among the experts. A subset of the models was utilized in an illustrative use case, where we generated linguistic descriptions of weather maps for specific geographical expressions. These were used in a task-based evaluation to determine how well potential readers are able to identify the geographical expressions grounded on the models.
- © 2019 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Alejandro Ramos AU - Jose M. Alonso AU - Ehud Reiter AU - Kees van Deemter AU - Albert Gatt PY - 2019 DA - 2019/09/12 TI - Fuzzy-Based Language Grounding of Geographical References: From Writers to Readers JO - International Journal of Computational Intelligence Systems SP - 970 EP - 983 VL - 12 IS - 2 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.d.190826.002 DO - 10.2991/ijcis.d.190826.002 ID - Ramos2019 ER -