Argumentation system for intelligent assistants using fuzzy-based reasoning

This paper addresses the issue of building intelligent assistant that is able to maintain sustainable conversation with the user while taking into account his emotional, personality aspects, and, at the same time, maintaining high level focus. The approach makes use four meta-features; namely, topic, emotion, personality and dialogue-act. A sequence-to sequence recurrent neural network approach was used to learn answer prototypes from Reddit.com sport corpus, while an ANFIS based approach was developed to extrapolate from the limited configurations used by the neural network to various dialogue utterances.

Authors:
Koivuaho T., Ibrahim M., Ummul F., Oussalah M.

Publication type:
A4 Article in conference proceedings

Place of publication:
Data Science and Knowledge Engineering for Sensing Decision Support. Proceedings of the 13th International FLINS Conference (FLINS 2018)

Keywords:
6G Publication

Published:

Full citation:
Argumentation system for intelligent assistants using fuzzy-based reasoning
T. Koivuaho (), M. Ibrahim (), F. Ummul (), and M. Oussalah () Data Science and Knowledge Engineering for Sensing Decision Support. October 2018, 608-616, https://doi.org/10.1142/9789813273238_0078

DOI:
https://doi.org/10.1142/9789813273238_0078

Read the publication here:
http://urn.fi/urn:nbn:fi-fe2020042119541