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Knowledge-based Dialog

Publication at Faculty of Mathematics and Physics |
2015

Abstract

We present a novel knowledge based dialog system that learns from interactions with users. It asks users for advice about unknown questions and generalizes them according to its knowledge base.

The dialog system was evaluated through the CrowdFlower crowdsourcing platform and it showed the ability to adapt without any prior information except the knowledge base.