Automatic Lexicon Generator for Logic Based Question Answering System

Computer science is in the more challenging era due to the digital growth and demand that we are facing today. A typical IR system will not go far enough as it uses keyword in order to retrieve the desired information. On the other hand, natural language question answering which is based on logic retrieval have proven to perform better than other methods. The most important component of question answering system is the lexicon. Researchers have identified this as the backbone of any NLP system. In this paper we present our approach on how an automatic lexicon generator has been integrated with question answering system which uses logical inference model. This paper also shows on how the automatic lexicon generator has helped in creating knowledge representation to be used by logic based question answering system. Besides that, the lexicon generated managed to reduce significant amount of time and manpower. It has also helped to make the question answering system to be more robust.