Investigating the Power of Advanced Neural Network Architectures for Higher Quality Information Extraction-Reference-Cited by-同舟云学术

Investigating the Power of Advanced Neural Network Architectures for Higher Quality Information Extraction

Published:2023-11-24 Issue: Volume:259 Page:1-6
ISSN:
Container-title:2023 2nd International Conference on Futuristic Technologies (INCOFT)
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Author:

G Ramya¹,Wanjale Kirti H.²,Srivastav Vaibhav³,B Muthukumar⁴,Mishra Awakash⁵,Mukuntharaj C.⁶

Affiliation:

1. Prince Shri Venkateshwara Padmavathy Engineering College,Department of Electronics and Communication Engineering,Chennai

2. Vishwakarma Institute of Information Technology,Department of Computer Engineering,Pune,India

3. Vivekananda Global University,Department of Computer Science & Engineering,Jaipur,India

4. Jain (Deemed to be University),Department of Animation and Virtual Reality,Bangalore,Karnataka,India

5. Maharishi School of Engineering and Technology, Maharishi University of Information Technology,Uttar Pradesh,India

6. Department of Electronics and Communication Engineering Karpagam College of Engineering,Coimbatore,641032

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10424959/10424987/10425128.pdf?arnumber=10425128

Reference16 articles.

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3. interaction-andresponse community for Distantly Supervised Relation Extraction;Music

4. A Comparative Study of Business Intelligence and Artificial Intelligence with Big Data Analytics

5. REEGAT: RoBERTa Entity Embedding and Graph Attention Networks Enhanced Sentence Representation for Relation Extraction