Application of attribute grammars to natural language sentence generation
WAGA Proceedings of the international conference on Attribute grammars and their applications
The “GENERATION GAP”: the problem of expressibility in text planning
The “GENERATION GAP”: the problem of expressibility in text planning
Using argumentation to control lexical choice: a functional unification implementation
Using argumentation to control lexical choice: a functional unification implementation
Introduction to Attributed Grammars
Proceedings on Attribute Grammars, Applications and Systems
A fast and portable realizer for text generation systems
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Two-level, many-paths generation
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
JYAG & IDEY: a tempelate-based generator and its authoring tool
Eighteenth national conference on Artificial intelligence
An augmented template-based approach to text realization
Natural Language Engineering
A Reference Architecture for Generation Systems
Natural Language Engineering
DOGHED: a template-based generator for multimodal dialog systems targeting heterogeneous devices
NAACL-Demonstrations '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: Demonstrations - Volume 4
YAG: a template-based generator for real-time systems
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
A Reference Architecture for Natural Language Generation Systems
Natural Language Engineering
Lazy combinators for executable specifications of general attribute grammars
PADL'10 Proceedings of the 12th international conference on Practical Aspects of Declarative Languages
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We present a new approach to enriching under-specified representations of content to be realized as text. Our approach uses an attribute grammar to propagate missing information where needed in a tree that represents the text to be realized. This declaratively-specified grammar mediates between application-produced output and the input to a generation system and, as a consequence, can easily augment an existing generation system. End-applications that use this approach can produce high quality text without a fine-grained specification of the text to be realized, thereby reducing the burden to the application. Additionally, representations used by the generator are compact, because values that can be constructed from the constraints encoded by the grammar will be propagated where necessary. This approach is more flexible than defaulting or making a statistically good choice because it can deal with long-distance dependencies (such as gaps and reflexive pronouns). Our approach differs from other approaches that use attribute grammars in that we use the grammar to enrich the representations of the content to be realized, rather than to generate the text itself. We illustrate the approach with examples from our template-based text-realizer, YAG.