Cited By
View all- Nismi Mol ESantosh Kumar M(2024)End-to-end framework for agricultural entity extraction – A hybrid model with transformerComputers and Electronics in Agriculture10.1016/j.compag.2024.109309225:COnline publication date: 18-Nov-2024
Review on knowledge extraction from text and scope in agriculture domain
Pages 4403 - 4445
Abstract
Knowledge extraction is meant by acquiring relevant information from the unstructured document in natural language and representing them in a structured form. Enormous information in various domains, including agriculture, is available in the natural language from several resources. The knowledge needs to be represented in a structured format to understand and process by a machine for automating various applications. This paper reviews different computational approaches like rule-based and learning-based methods and explores the various techniques, features, tools, datasets, and evaluation metrics adopted for knowledge extraction from the most relevant literature.
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Published: 29 September 2022
Accepted: 11 July 2022
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View all- Nismi Mol ESantosh Kumar M(2024)End-to-end framework for agricultural entity extraction – A hybrid model with transformerComputers and Electronics in Agriculture10.1016/j.compag.2024.109309225:COnline publication date: 18-Nov-2024