A Factoid Question Answering System for Vietnamese
This work addresses the challenge of creating an intelligent user interface for Vietnamese, a language where existing techniques from inflectional languages cannot be directly applied, making it domain-specific and incremental.
The paper tackles the problem of developing a factoid question answering system for Vietnamese, an isolating language, by combining statistical models and ontology-based methods, achieving promising accuracy on a test set.
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.