Review on knowledge extraction from text and scope in agriculture domain

被引：0
作者：
E. A. Nismi Mol
M. B. Santosh Kumar
机构：
[1] Cochin University of Science and Technology,Division of Information Technology, School of Engineering
来源：
Artificial Intelligence Review | 2023年 / 56卷
关键词：
Knowledge extraction; Information extraction; Natural language processing; Structured knowledge;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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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页码：4403 / 4445
页数：42
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