Handbook of formal languages, vol. 3
Planning English Sentences
Graph-based generation of referring expressions
Computational Linguistics
Generating Referring Expressions: Making Referents Easy to Identify
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
PDDL2.1: an extension to PDDL for expressing temporal planning domains
Journal of Artificial Intelligence Research
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
Noun phrase generation for situated dialogs
INLG '06 Proceedings of the Fourth International Natural Language Generation Conference
The use of spatial relations in referring expression generation
INLG '08 Proceedings of the Fifth International Natural Language Generation Conference
Learning to adapt to unknown users: referring expression generation in spoken dialogue systems
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Automated planning for situated natural language generation
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
A game-theoretic approach to generating spatial descriptions
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Introducing shared tasks to NLG: the TUNA shared task evaluation challenges
Empirical methods in natural language generation
The first challenge on generating instructions in virtual environments
Empirical methods in natural language generation
Optimising natural language generation decision making for situated dialogue
SIGDIAL '11 Proceedings of the SIGDIAL 2011 Conference
Report on the second second challenge on generating instructions in virtual environments (GIVE-2.5)
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
The Potsdam NLG systems at the GIVE-2.5 challenge
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
Computational generation of referring expressions: A survey
Computational Linguistics
The Potsdam NLG systems at the GIVE-2.5 challenge
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
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We present an approach to the generation of referring expressions (REs) which computes the unique RE that it predicts to be fastest for the hearer to resolve. The system operates by learning a maximum entropy model for referential success from a corpus and using the model's weights as costs in a metric planning problem. Our system outperforms the baselines both on predicted RE success and on similarity to human-produced successful REs. A task-based evaluation in the context of the GIVE-2.5 Challenge on Generating Instructions in Virtual Environments verifies the higher RE success scores of the system.