Natural language generation systems
IPF: an incremental parallel formulator
Current research in natural language generation
Explanation and interaction: the computer generation of explanatory dialogues
Explanation and interaction: the computer generation of explanatory dialogues
An analysis of explanation and its implications for the design of explanation planners
An analysis of explanation and its implications for the design of explanation planners
Participating in explanatory dialogues: interpreting and responding to questions in context
Participating in explanatory dialogues: interpreting and responding to questions in context
Revision-based generation of natural language summaries providing historical background: corpus-based analysis, design, implementation and evaluation
Aggregation in Natural Language Generation
EWNLG '93 Selected papers from the Fourth European Workshop on Trends in Natural Language Generation, An Artificial Intelligence Perspective
Text Revision: A Model and Its Implementation
Proceedings of the 6th International Workshop on Natural Language Generation: Aspects of Automated Natural Language Generation
AI Research in the Context of a Multifunctional Knowledge Base: The BotanyKnowledge Base Project
AI Research in the Context of a Multifunctional Knowledge Base: The BotanyKnowledge Base Project
Generating natural language descriptions with integrated text and examples
Generating natural language descriptions with integrated text and examples
Developing and empirically evaluating robust explanation generators: the KNIGHT experiments
Computational Linguistics
Computer generation of multiparagraph English text
Computational Linguistics
A model of revision in natural language generation
ACL '86 Proceedings of the 24th annual meeting on Association for Computational Linguistics
Artificial Intelligence
Segregatory coordination and ellipsis in text generation
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Integrating text plans for conciseness and coherence
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Integrating discourse markers into a pipelined natural language generation architecture
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Parenthetical constructions: an argument against modularity
GEAF '09 Proceedings of the 2009 Workshop on Grammar Engineering Across Frameworks
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Recent years have witnessed rapid progress in explanation generation. Despite these advances, the quality of prose produced by explanation generators warrants significant improvement. Revision-based explanation generation offers a promising means for improving explanations at runtime. In contrast to singledraft explanation generation architectures, a revision-based generator could dynamically create, evaluate, and refine multiple drafts of explanations. However, because of the inherent complexity of revision, previous multisentential revision-based approaches have not scaled up. We have developed a scalable revision-based model of explanation generation that dynamically improves multi-sentential explanations. By operating on abstract discourse plans encoded in a minimalist representation, it combats both the conceptual complexities and the efficiency problems posed by revision. This approach has been implemented in REVISOR, a unification-based revision system. Evaluations of REVISOR'S performance in generating a corpus of extended multi-sentential scientific explanations yielded encouraging results.