AGNER: Entity tagger in agriculture domain

Named Entity recognition is a challenging problem in the area of text mining. Most of the work in this field has been done in open domain. However the notion of named entity changes when we move from open domain to domain specific NER. For domain specific NER only the biomedical domain has been taken in consideration. While in Agriculture domain no significant work has been done. Thus NER for Agriculture Domain becomes an interesting research problem. In this work we have taken a step to develop a NER for agriculture domain namely AGNER. We have used linguistic and domain specific knowledge base for developing the system. We have used Agrovoc hierarchy for labeling the terms with the appropriate tags. Two layers of tags namely: <;Fine grain> and <;Coarse Grain> has been used to label each agriculture terms in the dataset.