Humorist Bot: Bringing Computational Humour in a Chat-Bot System
CISIS '08 Proceedings of the 2008 International Conference on Complex, Intelligent and Software Intensive Systems
Affect as Information about Users' Attitudes to Conversational Agents
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
A casual conversation system using modality and word associations retrieved from the web
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
The role of spoken language dialogue interaction in intelligent environments
Journal of Ambient Intelligence and Smart Environments
Reducing excessive amounts of data: multiple web queries for generation of pun candidates
Advances in Artificial Intelligence
Proceedings of the 21st ACM international conference on Information and knowledge management
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In this paper we present an innovative work on a multiagent joking conversational system. In our research so far we have shown that implementing humor into a chatterbot can visibly improve its performance. The results presented in this paper are the outcome of the next step of our work. They show that a multiagent system, combining a conversational agent, a pun generator and an emotiveness analysis engine, works reasonably well in interactions with users. In the setup used in this research, the emotiveness analysis agent analyses users' utterances and decides whether it is appropriate to tell a pun. Depending on the results of this analysis, the agent chooses either the pun generator, if the decision is that a joke should be told, or the non-humor-equipped agent when the decision is different. Two evaluation experiments were conducted: user (first person) focused and automatic (emotiveness-analysis-based). In both, we compared the performance of the multiagent joking system and a baseline (non-humorous) conversation agent. The results show that in both cases the humor-equipped engine was evaluated as better than the baseline agent. The results are discussed and some ideas for the future are given.