A Vietnamese Question Answering System
Dai Quoc Nguyen, Dat Quoc Nguyen, Son Bao Pham

TL;DR
This paper presents the first Vietnamese question answering system that uses an ontology-based approach, enabling natural language queries in Vietnamese to retrieve precise answers from a knowledge base.
Contribution
It introduces a novel ontology-based QA system for Vietnamese, allowing natural language queries, which is a pioneering effort in this language and approach.
Findings
Promising results on an organizational ontology
First system to query Vietnamese ontological knowledge base
Effective natural language question processing
Abstract
Question answering systems aim to produce exact answers to users' questions instead of a list of related documents as used by current search engines. In this paper, we propose an ontology-based Vietnamese question answering system that allows users to express their questions in natural language. To the best of our knowledge, this is the first attempt to enable users to query an ontological knowledge base using Vietnamese natural language. Experiments of our system on an organizational ontology show promising results.
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