Graph-based generation of referring expressions
Computational Linguistics
Evaluating algorithms for the generation of referring expressions using a balanced corpus
ENLG '07 Proceedings of the Eleventh European Workshop on Natural Language Generation
Building a semantically transparent corpus for the generation of referring expressions
INLG '06 Proceedings of the Fourth International Natural Language Generation Conference
The TUNA challenge 2008: overview and evaluation results
INLG '08 Proceedings of the Fifth International Natural Language Generation Conference
GRAPH: the costs of redundancy in referring expressions
INLG '08 Proceedings of the Fifth International Natural Language Generation Conference
Does size matter: how much data is required to train a REG algorithm?
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
A cross-linguistic study on the production of multimodal referring expressions in dialogue
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
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In this paper we describe a cross-linguistic experiment in attribute selection for referring expression generation. We used a graph-based attribute selection algorithm that was trained and cross-evaluated on English and Dutch data. The results indicate that attribute selection can be done in a largely language independent way.