Pragmatics and natural language generation
Artificial Intelligence
Improvising linguistic style: social and affective bases for agent personality
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Personality-rich believable agents that use language
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Does computer-generated speech manifest personality? an experimental test of similarity-attraction
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Emotion and personality in a conversational agent
Embodied conversational agents
A flexible platform for building applications with life-like characters
Proceedings of the 8th international conference on Intelligent user interfaces
ALMA: a layered model of affect
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Whose thumb is it anyway?: classifying author personality from weblog text
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Techniques for text planning with XSLT
NLPXML '04 Proceeedings of the Workshop on NLP and XML (NLPXML-2004): RDF/RDFS and OWL in Language Technology
Politeness and alignment in dialogues with a virtual guide
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
Archetype-Driven Character Dialogue Generation for Interactive Narrative
IVA '08 Proceedings of the 8th international conference on Intelligent Virtual Agents
Coordination in conversation and rapport
EmbodiedNLP '07 Proceedings of the Workshop on Embodied Language Processing
Avoiding repetition in generated text
ENLG '07 Proceedings of the Eleventh European Workshop on Natural Language Generation
An alignment-capable microplanner for natural language generation
ENLG '09 Proceedings of the 12th European Workshop on Natural Language Generation
Individual and domain adaptation in sentence planning for dialogue
Journal of Artificial Intelligence Research
CCG chart realization from disjunctive inputs
INLG '06 Proceedings of the Fourth International Natural Language Generation Conference
Generation of output style variation in the SAMMIE dialogue system
INLG '08 Proceedings of the Fifth International Natural Language Generation Conference
Adaptive expressiveness: virtual conversational agents that can align to their interaction partner
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Towards personality-based user adaptation: psychologically informed stylistic language generation
User Modeling and User-Adapted Interaction
Phrase-based statistical language generation using graphical models and active learning
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Modelling and evaluation of lexical and syntactic alignment with a priming-based microplanner
Empirical methods in natural language generation
Recommendation system based on interaction with multiple agents for users with vague intention
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: interaction techniques and environments - Volume Part II
Controlling user perceptions of linguistic style: Trainable generation of personality traits
Computational Linguistics
Perceived or not perceived: film character models for expressive NLG
ICIDS'11 Proceedings of the 4th international conference on Interactive Digital Storytelling
Perspective-oriented generation of football match summaries: Old tasks, new challenges
ACM Transactions on Speech and Language Processing (TSLP)
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It would be useful to enable dialogue agents to project, through linguistic means, their individuality or personality. Equally, each member of a pair of agents ought to adjust its language (to a greater or lesser extent) to match that of its interlocutor. We describe CRAG, which generates dialogues between pairs of agents, who are linguistically distinguishable, but able to align. CRAG-2 makes use of OPENCCG and an over-generation and ranking approach, guided by a set of language models covering both personality and alignment. We illustrate with examples of output, and briefly note results from user studies with the earlier CRAG-1, indicating how CRAG-2 will be further evaluated. Related work is discussed, along with current limitations and future directions.