Cooking up referring expressions
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
Collaboration on reference to objects that are not mutually known
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Generating minimal definite descriptions
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
The HCRC Map Task corpus: natural dialogue for speech recognition
HLT '93 Proceedings of the workshop on Human Language Technology
Generating Referring Expressions that Involve Gradable Properties
Computational Linguistics
Incremental generation of spatial referring expressions in situated dialog
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Conceptual coherence in the generation of referring expressions
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Generation of repeated references to discourse entities
ENLG '07 Proceedings of the Eleventh European Workshop on Natural Language Generation
Evaluating algorithms for the generation of referring expressions using a balanced corpus
ENLG '07 Proceedings of the Eleventh European Workshop on Natural Language Generation
Learning content selection rules for generating object descriptions in dialogue
Journal of Artificial Intelligence Research
Algorithms for generating referring expressions: do they do what people do?
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
Referring expression generation through attribute-based heuristics
ENLG '09 Proceedings of the 12th European Workshop on Natural Language Generation
ENLG '09 Proceedings of the 12th European Workshop on Natural Language Generation
Creating an annotated corpus for generating walking directions
UCNLG+Sum '09 Proceedings of the 2009 Workshop on Language Generation and Summarisation
The prevalence of descriptive referring expressions in news and narrative
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
Natural reference to objects in a visual domain
INLG '10 Proceedings of the 6th International Natural Language Generation Conference
Generating approximate geographic descriptions
Empirical methods in natural language generation
Attribute-centric referring expression generation
Empirical methods in natural language generation
Computational generation of referring expressions: A survey
Computational Linguistics
Optimising natural language generation decision making for situated dialogue
SIGDIAL '11 Proceedings of the SIGDIAL 2011 Conference
Generating subsequent reference in shared visual scenes: computation vs. re-use
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
The impact of visual context on the content of referring expressions
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
GRE3D7: a corpus of distinguishing descriptions for objects in visual scenes
UCNLG+EVAL '11 Proceedings of the UCNLG+Eval: Language Generation and Evaluation Workshop
REX-J: Japanese referring expression corpus of situated dialogs
Language Resources and Evaluation
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There is a prevailing assumption in the literature on referring expression generation that relations are used in descriptions only 'as a last resort', typically on the basis that including the second entity in the relation introduces an additional cognitive load for either speaker or hearer. In this paper, we describe an experiemt that attempts to test this assumption; we determine that, even in simple scenes where the use of relations is not strictly required in order to identify an entity, relations are in fact often used. We draw some conclusions as to what this means for the development of algorithms for the generation of referring expressions.