AGRI-QAS question-answering system for agriculture domain

摘要: In this paper, we focus on the need for a robust domain specific question answering system targeting agriculture domain. It aims to help farmers get information and resolve their queries related thereby improving literacy. The is based principles of natural language processing retrieval. Most currently available retrieval tools return ranked list documents instead precise answers do not support runtime answer Thus developing which processes unstructured data returns actual FACTOID questions such as ‘which’, ‘what’, ‘who’, ‘where’. For example, “which diseases affect wheat crop?”, “what are prevalent in North-America region?” etc.