  This paper introduces a Vietnamese text-based conversational agent
architecture on specific knowledge domain which is integrated in a question
answering system. When the question answering system fails to provide answers
to users' input, our conversational agent can step in to interact with users to
provide answers to users. Experimental results are promising where our
Vietnamese text-based conversational agent achieves positive feedback in a
study conducted in the university academic regulation domain.
