Planning english referring expressions
Artificial Intelligence - Lecture notes in computer science 178
Attention, intentions, and the structure of discourse
Computational Linguistics
Centering: a framework for modeling the local coherence of discourse
Computational Linguistics
Collaborating on referring expressions
Computational Linguistics
Artificial Intelligence
Generating Referring Expressions in a Multimodal Environment
Proceedings of the 6th International Workshop on Natural Language Generation: Aspects of Automated Natural Language Generation
Cogniac: a discourse processing engine
Cogniac: a discourse processing engine
An empirical study on the generation of anaphora in Chinese
Computational Linguistics
Building applied natural language generation systems
Natural Language Engineering
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Prosody and the resolution of pronominal anaphora
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
A computational model for generating referring expressions in a multilingual application domain
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
An integrated framework for text planning and pronominalisation
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Artificial Intelligence
Automatic cinematography and multilingual NLG for generating video documentaries
Artificial Intelligence
Optimizing Referential Coherence in Text Generation
Computational Linguistics
Automatic cinematography and multilingual NLG for generating video documentaries
Artificial Intelligence
Computational generation of referring expressions: A survey
Computational Linguistics
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Previous approaches to pronominalization have largely been theoretical rather than applied in nature. Frequently, such methods are based on Centering Theory, which deals with the resolution of anaphoric pronouns. But it is not clear that complex theoretical mechanisms, while having satisfying explanatory power, are necessary for the actual generation of pronouns. We first illustrate examples of pronouns from various domains, describe a simple method for generating pronouns in an implemented multi-page generation system, and present an evaluation of its performance.