LSTM Based Named Entity Chunking and Entity Extraction-Reference-Cited by-同舟云学术

LSTM Based Named Entity Chunking and Entity Extraction

Published:2022-03-10 Issue: Volume: Page:
ISSN:
Container-title:2022 First International Conference on Artificial Intelligence Trends and Pattern Recognition (ICAITPR)
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Author:

Pallavi Bhogadi Godha¹,Kumar E Ravi¹,Karnati Ramesh¹,Kumar Ravula Arun²

Affiliation:

1. Vardhaman College of Engineering,Department of Information Technology

2. BVRIT HYDERABAD College of Engineering for Women,Department of Information Technology

Publisher

IEEE

Link

Reference8 articles.

2. End-to-end Sequence Labeling via Bidirectional LSTM-CNNs-CRF;ma;Language Technologies Institute Carnegie Mellon University,2016

3. Bidirectional LSTM-CRF Models for Sequence Tagging;huang;Baidu Res,2015

4. Named-Entity Recognition for Indonesian Language using Bidirectional LSTM-CNNs;gunawan;Elsevier Ltd,2016

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3. BERT-BiLSTM-CRF Chinese Resume Named Entity Recognition Combining Attention Mechanisms;Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering;2023-11-17

4. The Role of Activation Function in Neural NER for a Large Semantically Annotated Corpus;2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE);2022-12-02