Using spatial reference frames to generate grounded textual summaries of georeferenced data
INLG '08 Proceedings of the Fifth International Natural Language Generation Conference
Generating approximate geographic descriptions
Empirical methods in natural language generation
Introducing shared tasks to NLG: the TUNA shared task evaluation challenges
Empirical methods in natural language generation
Computational generation of referring expressions: A survey
Computational Linguistics
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A fundamental part of the process of referring to an entity is to categorise it (for instance, as the woman). Where multiple categorisations exist, this implicitly involves the adoption of a conceptual perspective. A challenge for the automatic Generation of Referring Expressions is to identify a set of referents coherently, adopting the same conceptual perspective. We describe and evaluate an algorithm to achieve this. The design of the algorithm is motivated by the results of psycholinguistic experiments.