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In recent years, the problem of Open-Domain Question Answering has been
widely discussed and rapidly developed. However, most of the Question
Answering systems are only available in English. In this thesis, we present a
system which focuses on processing Vietnamese natural language, exclusively
for Vietnamese users. Our system, Smart Answers Generator of Everything
(SAGE), is inspired by the Open Question Answering System – or the OQA
System (Anthony Fader, Luke Zettlemoyer, Oren Etzioni, 2014).
Similar to the Open Question Answering system, SAGE approaches the
problem of Open-Domain Question Answering with a divide-and-conquer
strategy. However, asides from traditional difficulties faced by other Question
Answering systems, a Vietnamese Question Answering System has to
overcome a challenge that only applies to a frontier system: the limited
availability of Vietnamese knowledge bases and other data corpuses, which
also leads to the impossibility of creating reliable operators sets for subproblems which would normally be mined from the knowledge base. Thus,
SAGE has to present a unique tactic to solve each of these sub-problems.
To create SAGE, we have studied about state-of-the-art Question Answering
Systems like PARALLEX, OQA, as well as learning the basic steps of building a
Question Answering system. We proposed SynGraph, a method to improve
recall when processing a query. A clean, well-prepared Knowledge Base
extracted from DBPedia was created along the way to ensure the operation
of SAGE.