Text generation: using discourse strategies and focus constraints to generate natural language text
Text generation: using discourse strategies and focus constraints to generate natural language text
Discourse strategies for generating natural-language text
Artificial Intelligence
Readings in natural language processing
Readings in natural language processing
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
Survey of the state of the art in human language technology
Introduction to Attributed Grammars
Proceedings on Attribute Grammars, Applications and Systems
From data to speech: a general approach
Natural Language Engineering
Building applied natural language generation systems
Natural Language Engineering
A fast and portable realizer for text generation systems
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
The TEXT system for natural language generation: an overview
ACL '82 Proceedings of the 20th annual meeting on Association for Computational Linguistics
Two-level, many-paths generation
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Enriching partially-specified representations for text realization using an attribute grammar
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
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
Real versus Template-Based Natural Language Generation: A False Opposition?
Computational Linguistics
Fully generated scripted dialogue for embodied agents
Artificial Intelligence
Resolving paraphrases to support modeling language perception in an intelligent agent
STEP '08 Proceedings of the 2008 Conference on Semantics in Text Processing
Adaptations of multimodal content in dialog systems targeting heterogeneous devices
UM'03 Proceedings of the 9th international conference on User modeling
Generating fine-grained reviews of songs from album reviews
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Text generation for Brazilian Portuguese: the surface realization task
YIWCALA '10 Proceedings of the NAACL HLT 2010 Young Investigators Workshop on Computational Approaches to Languages of the Americas
Improved text generation using n-gram statistics
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
Text-to-text surface realisation using dependency-tree replacement
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
Lazy combinators for executable specifications of general attribute grammars
PADL'10 Proceedings of the 12th international conference on Practical Aspects of Declarative Languages
Information-Gathering events in story plots
ICEC'12 Proceedings of the 11th international conference on Entertainment Computing
Generating natural language descriptions from OWL ontologies: the natural OWL system
Journal of Artificial Intelligence Research
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We present an Augmented Template-Based approach to text realization that addresses the requirements of real-time, interactive systems such as a dialog system or an intelligent tutoring system. Template-based approaches are easier to implement and use than traditional approaches to text realization. They can also generate texts more quickly. However traditional template-based approaches with rigid templates are inflexible and difficult to reuse. Our approach augments traditional template-based approaches by adding several types of declarative control expressions and an attribute grammar-based mechanism for processing missing or inconsistent slot fillers. Therefore, augmented templates can be made more general than traditional ones, yielding templates that are more flexible and reusable across applications.