Abstract
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.
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Caropreso, M.F., Inkpen, D., Khan, S., Keshtkar, F.: Automatic generation of narrative content for digital games. In: IEEE NLP-KE 2009, Dalian, China (2009)
Caropreso, M.F., Inkpen, D., Khan, S., Keshtkar, F.: Visual development process for automatic generation of digital games narrative content. In: 47th ACL-IJCNLP Workshop, WS4, Singapore, August 2-7 (2009)
Elhadad, M.: Using Argumentation to Control Lexicon Choice. Ph.D. thesis, Columbia University, New York, USA (1994)
Gatt, A., Reiter, E.: Simplenlg: A realisation engine for practical applications. In: ENLG (2009)
Keshtkar, F., Inkpen, D.: A corpus-based method for extracting paraphrases of emotion terms. In: 11th NAACL-HLT 2010 Association for Computational Linguistics-Human Language Technologies, WS2: Computational Approaches to Analysis and Generation of Emotion in Text, Los Angeles, CA (June 2010)
Klein, D., Manning, C.D.: Fast exact inference with a factored model for natural language parsing. In: Advances in Neural Information Processing Systems, vol. 15, pp. 3–10. MIT Press, Cambridge (2003)
Mihalcea, R.: Co-training and self-training for word sense disambiguation. In: Natural Language Learning (CoNLL 2004), Boston (May 2004)
Penman: The penman user guide. Tech. rep., Technical Report, Information Science Institute, Marina Del ray, CA 90292 (1989)
Reiter, E.: An architecture for data-to-text systems. In: Proceedings of ENLG 2007, pp. 97–104 (2007)
Reiter, E., Dale, R.: Building Natural Language Generation Systems. Studies in Natural Language Processing. Cambridge University, Cambridge (2000)
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Keshtkar, F., Inkpen, D. (2011). A Pattern-Based Model for Generating Text to Express Emotion. In: D’Mello, S., Graesser, A., Schuller, B., Martin, JC. (eds) Affective Computing and Intelligent Interaction. ACII 2011. Lecture Notes in Computer Science, vol 6975. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24571-8_2
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DOI: https://doi.org/10.1007/978-3-642-24571-8_2
Publisher Name: Springer, Berlin, Heidelberg
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