2.2. Vietnamese question answering
Several attempts have been made to build Vietnamese QA systems. T r a n et al. [24]
describe an experimental Vietnamese QA system. By extracting information from the
WWW, their system can answer simple questions in the travel domain with high
accuracy. N g u y e n, N g u y e n and P h a m [21] present a prototype for an ontology-
based Vietnamese QA system. Their system works like a natural language interface
to a relational database. T r a n et al. [25] introduce another Vietnamese QA system
focusing on Who, Whom, and Whose questions, which require an answer as a person
name. T r a n et al. [26] introduce a learning-based approach for Vietnamese question
classification which utilizes two kinds of features bag-of-words and keywords
extracted from the Web. Some studies have been conducted to build a Vietnamese
QA system in the legal domain [2, 5]. While D u o n g and B a o-Q u o c [5] focus on
simple questions about provisions, processes, procedures, and sanctions in law on
enterprises, B a c h et al. [2] deal with questions about the transportation law. The
most recent work on this field is the one of L e-H o n g and B u i [15], which proposes
an end-to-end factoid QA system for Vietnamese. By combining both statistical
models and ontology-based methods, their system can answer a wide range of
questions with promising accuracy.
To the best of our knowledge, this is the first work on machine learning-based
Vietnamese question analysis as well as question answering in the education domain.
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