Elements of information theory
Elements of information theory
Speech Communication - Special issue on interactive voice technology for telecommunication applications (IVITA '96)
Foundations of statistical natural language processing
Foundations of statistical natural language processing
Labeling images with a computer game
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
On the collective classification of email "speech acts"
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 11th international conference on Intelligent user interfaces
Learning empathy: a data-driven framework for modeling empathetic companion agents
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Automatic learning and generation of social behavior from collective human gameplay
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Optimizing dialogue management with reinforcement learning: experiments with the NJFun system
Journal of Artificial Intelligence Research
Extracting chatbot knowledge from online discussion forums
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Hi-index | 0.00 |
As a step toward simulating dynamic dialogue between agents and humans in virtual environments, we describe learning a model of social behavior composed of interleaved utterances and physical actions. In our model, utterances are abstracted as {speech act, propositional content, referent} triples. After training a classifier on 100 gameplay logs from The Restaurant Game annotated with dialogue act triples, we have automatically classified utterances in an additional 5,000 logs. A quantitative evaluation of statistical models learned from the gameplay logs demonstrates that semiautomatically classified dialogue acts yield significantly more predictive power than automatically clustered utterances, and serve as a better common currency for modeling interleaved actions and utterances.