Planning english referring expressions
Artificial Intelligence - Lecture notes in computer science 178
Building natural language generation systems
Building natural language generation systems
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
Embedding new information into referring expressions
ACL '98 Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics - Volume 2
An empirical investigation of proposals in collaborative dialogues
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
A fast algorithm for the generation of referring expressions
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 1
Corpus-based NP modifier generation
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Can nominal expressions achieve multiple goals?: an empirical study
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Capturing the interaction between aggregation and text planning in two generation systems
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
Discourse annotation and semantic annotation in the GNOME corpus
DiscAnnotation '04 Proceedings of the 2004 ACL Workshop on Discourse Annotation
The TUNA-REG Challenge 2009: overview and evaluation results
ENLG '09 Proceedings of the 12th European Workshop on Natural Language Generation
Building a semantically transparent corpus for the generation of referring expressions
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
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Generating referring expressions is a key step in Natural Language Generation. Researchers have focused almost exclusively on generating distinctive referring expressions, that is, referring expressions that uniquely identify their intended referent. While undoubtedly one of their most important functions, referring expressions can be more than distinctive. In particular, descriptive referring expressions -- those that provide additional information not required for distinction -- are critical to fluent, efficient, well-written text. We present a corpus analysis in which approximately one-fifth of 7,207 referring expressions in 24,422 words of news and narrative are descriptive. These data show that if we are ever to fully master natural language generation, especially for the genres of news and narrative, researchers will need to devote more attention to understanding how to generate descriptive, and not just distinctive, referring expressions.