Semi-Supervised Bootstrapped Syntax-Semantics-Based Approach for Agriculture Relation Extraction for Knowledge Graph Creation and Reasoning-Reference-Cited by-同舟云学术

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Semi-Supervised Bootstrapped Syntax-Semantics-Based Approach for Agriculture Relation Extraction for Knowledge Graph Creation and Reasoning

Published:2023 Issue: Volume:11 Page:138375-138398
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Veena G.¹^ORCID,Gupta Deepa²^ORCID,Kanjirangat Vani³

Affiliation:

1. Department of Computer Science and Applications, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri, Kollam, India

2. Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Bengaluru, India

3. Istituto Dalle Molle di Studi sull’Intelligenza Artificiale (IDSIA USI/SUPSI), Viganello, Switzerland

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10343160.pdf?arnumber=10343160

Reference123 articles.

1. AN ANALYTICAL NOTE ON THE STATUS OF AGRICULTURE SECTOR IN INDIAN ECONOMY

2. Agriculture role on Indian economy;Kumar;Bus. Econ. J.,2015

3. Agriculture sector of Indian economy;Bhise;Golden Res. Thought,2016

4. Climate impacts on Indian agriculture

5. Indian agriculture and climate sensitivity

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Knowledge Extraction from Distributed Heterogeneous Data Sources;2024 5th International Conference for Emerging Technology (INCET);2024-05-24

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