Semantic Role Labeling for Amharic Text Using Multiple Embeddings and Deep Neural Network-Reference-Cited by-同舟云学术

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Semantic Role Labeling for Amharic Text Using Multiple Embeddings and Deep Neural Network

Published:2023 Issue: Volume:11 Page:33274-33295
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Hailu Bemnet Meresa¹^ORCID,Assabie Yaregal²^ORCID,Sinshaw Yenewondim Biadgie³

Affiliation:

1. Addis Ababa Institute of Technology, Addis Ababa University, Addis Ababa, Ethiopia

2. Department of Computer Science, Addis Ababa University, Addis Ababa, Ethiopia

3. Department of Software and Computer Engineering, College of Information Technology, Ajou University, Suwon, South Korea

Funder

Addis Ababa University

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/ielx7/6287639/10005208/10087272.pdf?arnumber=10087272

Reference41 articles.

1. Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

2. Multi-grained Named Entity Recognition

3. A unified architecture for natural language processing

4. Long Short-Term Memory

5. Syntax Aware LSTM model for Semantic Role Labeling

Cited by 3 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. A Systematic Review on Semantic Role Labeling for Information Extraction in Low-Resource Data;IEEE Access;2024

2. Transfer of Models and Resources for Under-Resourced Languages Semantic Role Labeling;Communications in Computer and Information Science;2024

3. Prediction of Key Parameters of Wheelset Based on LSTM Neural Network;Applied Sciences;2023-10-31

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