Generating referring expressions: boolean extensions of the incremental algorithm
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
Cooking up referring expressions
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
Generating minimal definite descriptions
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
Generating Referring Expressions that Involve Gradable Properties
Computational Linguistics
Generating referring expressions in open domains
ACL '04 Proceedings of the 42nd Annual Meeting on Association for 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
Learning content selection rules for generating object descriptions in dialogue
Journal of Artificial Intelligence Research
Viewing referring expression generation as search
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Algorithms for generating referring expressions: do they do what people do?
INLG '06 Proceedings of the Fourth International Natural Language Generation Conference
Building a semantically transparent corpus for the generation of referring expressions
INLG '06 Proceedings of the Fourth International Natural Language Generation Conference
Statistical Surface Realisation of Portuguese Referring Expressions
GoTAL '08 Proceedings of the 6th international conference on Advances in Natural Language Processing
Combining Frequent and Discriminating Attributes in the Generation of Definite Descriptions
IBERAMIA '08 Proceedings of the 11th Ibero-American conference on AI: Advances in Artificial Intelligence
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
ENLG '09 Proceedings of the 12th European Workshop on Natural Language Generation
Attribute selection for referring expression generation: new algorithms and evaluation methods
INLG '08 Proceedings of the Fifth 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
The TUNA challenge 2008: overview and evaluation results
INLG '08 Proceedings of the Fifth International Natural Language Generation Conference
From TUNA attribute sets to Portuguese text: a first report
INLG '08 Proceedings of the Fifth International Natural Language Generation Conference
Rule-based vs. probabilistic surface realisation of definite description
Companion Proceedings of the XIV Brazilian Symposium on Multimedia and the Web
Preferences versus adaptation during referring expression generation
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
Cross-linguistic attribute selection for REG: comparing Dutch and English
INLG '10 Proceedings of the 6th International Natural Language Generation Conference
Introducing shared tasks to NLG: the TUNA shared task evaluation challenges
Empirical methods in natural language generation
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
Computational generation of referring expressions: A survey
Computational Linguistics
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
International Journal of Human-Computer Studies
On the feasibility of open domain referring expression generation using large scale folksonomies
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Learning preferences for referring expression generation: effects of domain, language and algorithm
INLG '12 Proceedings of the Seventh International Natural Language Generation Conference
REX-J: Japanese referring expression corpus of situated dialogs
Language Resources and Evaluation
Information Processing and Management: an International Journal
| Hi-index | 0.00 |
Despite being the focus of intensive research, evaluation of algorithms that generate referring expressions is still in its infancy. We describe a corpus-based evaluation methodology, applied to a number of classic algorithms in this area. The methodology focuses on balance and semantic transparency to enable comparison of human and algorithmic output. Although the Incremental Algorithm emerges as the best match, we found that its dependency on manually-set parameters makes its performance difficult to predict.