Using spatial reference frames to generate grounded textual summaries of georeferenced data

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 Intl., Banchory, Aberdeenshire, UK
Venue:
INLG '08 Proceedings of the Fifth International Natural Language Generation Conference
Year:
2008

Citing 11
Cited 8

Using Natural-Language Processing to Produce Weather Forecasts

IEEE Expert: Intelligent Systems and Their Applications
Graph-based generation of referring expressions

Computational Linguistics
Geographic Data Mining and Knowledge Discovery

Geographic Data Mining and Knowledge Discovery
Generation of extended bilingual statistical reports

COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 3
A two-stage model for content determination

EWNLG '01 Proceedings of the 8th European workshop on Natural Language Generation - Volume 8
Generating Referring Expressions that Involve Gradable Properties

Computational Linguistics
Lexical Choice and Conceptual Perspective in the Generation of Plural Referring Expressions

Journal of Logic, Language and Information
An architecture for data-to-text systems

ENLG '07 Proceedings of the Eleventh European Workshop on Natural Language Generation
Connecting language to the world

Artificial Intelligence - Special volume on connecting language to the world
Choosing words in computer-generated weather forecasts

Artificial Intelligence - Special volume on connecting language to the world
Generating references to parts of recursively structured objects

INLG '06 Proceedings of the Fourth International Natural Language Generation Conference

Generating approximate geographic descriptions

ENLG '09 Proceedings of the 12th European Workshop on Natural Language Generation
What game theory can do for NLG: the case of vague language

ENLG '09 Proceedings of the 12th European Workshop on Natural Language Generation
The importance of narrative and other lessons from an evaluation of an NLG system that summarises clinical data

INLG '08 Proceedings of the Fifth International Natural Language Generation Conference
Generating approximate geographic descriptions

Empirical methods in natural language generation
Computational generation of referring expressions: A survey

Computational Linguistics
Learning preferences for referring expression generation: effects of domain, language and algorithm

INLG '12 Proceedings of the Seventh International Natural Language Generation Conference
MinkApp: generating spatio-temporal summaries for nature conservation volunteers

INLG '12 Proceedings of the Seventh International Natural Language Generation Conference
Requirements and architecture design principles for a smart city experiment with sensor and social networks integration

Proceedings of the 17th Panhellenic Conference on Informatics

Quantified Score

Hi-index	0.01

Visualization

Abstract

Summarising georeferenced (can be identified according to it's location) data in natural language is challenging because it requires linking events describing its non-geographic attributes to their underlying geography. This mapping is not straightforward as often the only explicit geographic information such data contains is latitude and longitude. In this paper we present an approach to generating textual summaries of georeferenced data based on spatial reference frames. This approach has been implemented in a data-to-text system we have deployed in the weather forecasting domain.