Using argumentation to control lexical choice: a functional unification implementation
Using argumentation to control lexical choice: a functional unification implementation
Building natural language generation systems
Building natural language generation systems
An architecture for data-to-text systems
ENLG '07 Proceedings of the Eleventh European Workshop on Natural Language Generation
SimpleNLG: a realisation engine for practical applications
ENLG '09 Proceedings of the 12th European Workshop on Natural Language Generation
Visual development process for automatic generation of digital games narrative content
UCNLG+Sum '09 Proceedings of the 2009 Workshop on Language Generation and Summarisation
A corpus-based method for extracting paraphrases of emotion terms
CAAGET '10 Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text
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In this paper we introduce a novel pattern-based model for generating emotion sentences. Our model starts with initial patterns, then constructs extended patterns. From the extended patterns, we chose good patterns that are suitable for generating emotion sentences. We also introduce a sentence planning module, which provides rules and constraints for our model. We present some examples and results for our model. We show that the model can generate various types of emotion sentences, either from semantic representation of input, or by choosing the pattern and the desired emotion class.