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

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

Amharic is morphologically complex and under-resourced language, posing difficulties in the development of natural language processing applications. This paper presents the development of semantic role labeler for Amharic text using end-to-end deep neural network architecture. The system implicitly...

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Bibliographic Details
Main Authors: Bemnet Meresa Hailu, Yaregal Assabie, Yenewondim Biadgie Sinshaw
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Semantic role labeling
Amharic text processing
multiple embeddings
deep neural network
Online Access:https://ieeexplore.ieee.org/document/10087272/

Internet

https://ieeexplore.ieee.org/document/10087272/

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