Dialogue act modeling for automatic tagging and recognition of conversational speech
Computational Linguistics
Providing computer game characters with conversational abilities
Lecture Notes in Computer Science
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Lecture Notes in Computer Science
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IEEE Transactions on Knowledge and Data Engineering
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IVA '08 Proceedings of the 8th international conference on Intelligent Virtual Agents
Unsupervised classification of dialogue acts using a dirichlet process mixture model
SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
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SIGDIAL '10 Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Using syntactic and semantic based relations for dialogue act recognition
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Boosting relation extraction with limited closed-world knowledge
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
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This paper presents a system that builds on theoretical and experimental insights from linguistic pragmatics, uses novel techniques from computational linguistics and combines them with robust baseline technologies to provide intelligent Non Player Characters (NPCs), which naturally act and talk in a virtual world. Current NPCs still lack the necessary linguistic knowledge and methods to apply them to the numerous conversational application areas in virtual worlds. The system presented in this paper manages two NPCs, a barkeeper and a furniture sales agent, which highly depend on conversational abilities.