Generating spatio-temporal descriptions in pollen forecasts

Authors:
Ross Turner;Somayajulu Sripada;Ehud Reiter;Ian P. Davy
Affiliations:
University of Aberdeen, UK;University of Aberdeen, UK;University of Aberdeen, UK;Aerospace and Marine International, Banchory, Aberdeenshire, UK
Venue:
EACL '06 Proceedings of the Eleventh Conference of the European Chapter of the Association for Computational Linguistics: Posters & Demonstrations
Year:
2006

Citing 5
Cited 5

Building natural language generation systems

Building natural language generation systems
Using Natural-Language Processing to Produce Weather Forecasts

IEEE Expert: Intelligent Systems and Their Applications
Geographic Data Mining and Knowledge Discovery

Geographic Data Mining and Knowledge Discovery
Connecting language to the world

Artificial Intelligence - Special volume on connecting language to the world
Acquiring correct knowledge for natural language generation

Journal of Artificial Intelligence Research

An architecture for data-to-text systems

ENLG '07 Proceedings of the Eleventh European Workshop on Natural Language Generation
Generating approximate geographic descriptions

ENLG '09 Proceedings of the 12th European Workshop on Natural Language Generation
Towards a programmable instrumented generator

INLG '10 Proceedings of the 6th International Natural Language Generation Conference
Generating approximate geographic descriptions

Empirical methods in natural language generation
Evaluating a Tool for Improving Accessibility to Charts and Graphs

ACM Transactions on Computer-Human Interaction (TOCHI)

Quantified Score

Hi-index	0.00

Visualization

Abstract

We describe our initial investigations into generating textual summaries of spatiotemporal data with the help of a prototype Natural Language Generation (NLG) system that produces pollen forecasts for Scotland.