Planning english referring expressions
Artificial Intelligence - Lecture notes in computer science 178
Collaborating on referring expressions
Computational Linguistics
Generating referring expressions: boolean extensions of the incremental algorithm
Computational Linguistics
Graph-based generation of referring expressions
Computational Linguistics
Generating referring expressions involving relations
EACL '91 Proceedings of the fifth conference on European chapter of the Association for Computational Linguistics
An algorithm for generating referential descriptions with flexible interfaces
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
On the representation of perceptual knowledge for understanding reference expressions
LKR'08 Proceedings of the 3rd international conference on Large-scale knowledge resources: construction and application
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
International Journal of Human-Computer Studies
REX-J: Japanese referring expression corpus of situated dialogs
Language Resources and Evaluation
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Past work of generating referring expressions mainly utilized attributes of objects and binary relations between objects in order to distinguish the target object from others. However, such an approach does not work well when there is no distinctive attribute among objects. To overcome this limitation, this paper proposes a novel generation method utilizing perceptual groups of objects and n-ary relations among them. The evaluation using 18 subjects showed that the proposed method could effectively generate proper referring expressions.