A Method for Question Type Extractions and Query Paraphrase to Korean Natural Language Question-Answering System

Abstract

Many search engines emerged to help users find information. Recent work in Question Answering has focused on web-based systems that extract a correct answers using by simple patterns. After the analysis of user question query sentence, these systems searched by various methods using the keyword-based search techniques on the web. This paper intruduce a methods to find documents that contained the correct answers to a given Korean natural language question query on the web. We present a method for specific modification that is made to convert user question query into useful query phrase by using the query type extraction and query paraphrase.