A Vietnamese Text-Based Conversational Agent
Dai Quoc Nguyen, Dat Quoc Nguyen, Son Bao Pham

TL;DR
This paper presents a Vietnamese text-based conversational agent integrated with a question answering system, designed to interact with users and provide answers in a specific knowledge domain, showing promising results in an academic regulation context.
Contribution
The paper introduces a novel Vietnamese conversational agent architecture that complements question answering systems in a specific domain.
Findings
Achieved positive user feedback in university academic regulation domain
Successfully integrated conversational agent with question answering system
Demonstrated effectiveness through experimental evaluation
Abstract
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.
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