A Factoid Question Answering System for Vietnamese

TL;DR

This paper presents an end-to-end factoid question answering system for Vietnamese, combining statistical and ontology-based methods to effectively handle language-specific challenges and achieve promising accuracy.

Contribution

It introduces a novel question answering system tailored for Vietnamese, addressing language-specific challenges and integrating multiple processing techniques.

Findings

System achieves promising accuracy on test questions

Combines statistical models with ontology-based methods

Addresses unique challenges of Vietnamese language

Abstract

In this paper, we describe the development of an end-to-end factoid question answering system for the Vietnamese language. This system combines both statistical models and ontology-based methods in a chain of processing modules to provide high-quality mappings from natural language text to entities. We present the challenges in the development of such an intelligent user interface for an isolating language like Vietnamese and show that techniques developed for inflectional languages cannot be applied "as is". Our question answering system can answer a wide range of general knowledge questions with promising accuracy on a test set.