Planning english referring expressions
Artificial Intelligence - Lecture notes in computer science 178
Generating referring expressions: boolean extensions of the incremental algorithm
Computational Linguistics
Lessons from a failure: generating tailored smoking cessation letters
Artificial Intelligence
Generating referring expressions involving relations
EACL '91 Proceedings of the fifth conference on European chapter of the Association for Computational Linguistics
Cooking up referring expressions
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
The computational complexity of avoiding conversational implicatures
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Generating minimal definite descriptions
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
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
Intrinsic vs. extrinsic evaluation measures for referring expression generation
HLT-Short '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers
Evaluating algorithms for the generation of referring expressions using a balanced corpus
ENLG '07 Proceedings of the Eleventh European Workshop on Natural Language Generation
A computational model of referring
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 2
Algorithms for generating referring expressions: do they do what people do?
INLG '06 Proceedings of the Fourth International Natural Language Generation Conference
A hearer-oriented evaluation of referring expression generation
ENLG '09 Proceedings of the 12th European Workshop on Natural Language Generation
The TUNA challenge 2008: overview and evaluation results
INLG '08 Proceedings of the Fifth International Natural Language Generation Conference
On the limits of sentence compression by deletion
Empirical methods in natural language generation
Learning adaptive referring expression generation policies for spoken dialogue systems
Empirical methods in natural language generation
Introducing shared tasks to NLG: the TUNA shared task evaluation challenges
Empirical methods in natural language generation
Two approaches for generating size modifiers
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
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Referring expression generation has recently been the subject of the first Shared Task Challenge in NLG. In this paper, we analyse the systems that participated in the Challenge in terms of their algorithmic properties, comparing new techniques to classic ones, based on results from a new human task-performance experiment and from the intrinsic measures that were used in the Challenge. We also consider the relationship between different evaluation methods, showing that extrinsic task-performance experiments and intrinsic evaluation methods yield results that are not significantly correlated. We argue that this highlights the importance of including extrinsic evaluation methods in comparative NLG evaluations.