A Study on Named Entity Recognition with Different Word Embeddings on GMB Dataset using Deep Learning Pipelines-Reference-Cited by-同舟云学术

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A Study on Named Entity Recognition with Different Word Embeddings on GMB Dataset using Deep Learning Pipelines

Published:2022-10-03 Issue: Volume: Page:
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Container-title:2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT)
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Author:

Chavali Surya Teja¹,Tej Kandavalli Charan¹,M Sugash T¹,Gupta Deepa¹

Affiliation:

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

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9984157/9984211/09984220.pdf?arnumber=9984220

Reference29 articles.

1. A Dilated CNN Model for Image Classification

2. Named Entity Recognition Method with Word Position

3. Deep Neural Architectures for Joint Named Entity Recognition and Disambiguation

4. Named Entity Recognition Using BERT BiLSTM CRF for Chinese Electronic Health Records

5. Named Entity Recognition using Machine learning techniques for Telugu language

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1. Toxic Comment Classification Using S-BERT Vectorization and Random Forest Algorithm;2023 IEEE International Conference on Contemporary Computing and Communications (InC4);2023-04-21

2. Clinical Abbreviation Disambiguation Using Clinical Variants of BERT;Lecture Notes in Computer Science;2023

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