scholarly journals CWI: A multimodal deep learning approach for named entity recognition from social media using character, word and image features

2021 ◽  
Author(s):  
Meysam Asgari-Chenaghlu ◽  
M. Reza Feizi-Derakhshi ◽  
Leili Farzinvash ◽  
M. A. Balafar ◽  
Cina Motamed
Keyword(s):  
Social Media ◽  
Deep Learning ◽  
Named Entity Recognition ◽  
Image Features ◽  
Entity Recognition ◽  
Learning Approach ◽  
Named Entity ◽  
Word And Image

scholarly journals Anyuak Language Named Entity Recognition Using Deep Learning Approach

2021 ◽  
Vol 14 (39) ◽  
pp. 2998-3006
Author(s):  
Birhanu Gardie ◽  
◽  
Smegnew Asemie ◽  
Kassahun Azezew
Keyword(s):  
Deep Learning ◽  
Named Entity Recognition ◽  
Entity Recognition ◽  
Learning Approach ◽  
Named Entity

scholarly journals Arabic named entity recognition using deep learning approach

2019 ◽  
Vol 9 (3) ◽  
pp. 2025 ◽  
Author(s):  
Ismail El Bazi ◽  
Nabil Laachfoubi
Keyword(s):  
Deep Learning ◽  
Network Architecture ◽  
Short Term Memory ◽  
State Of The Art ◽  
Named Entity Recognition ◽  
Entity Recognition ◽  
Feature Engineering ◽  
Learning Approach ◽  
Sources Of Information ◽  
Named Entity

Most of the Arabic Named Entity Recognition (NER) systems depend massively on external resources and handmade feature engineering to achieve state-of-the-art results. To overcome such limitations, we proposed, in this paper, to use deep learning approach to tackle the Arabic NER task. We introduced a neural network architecture based on bidirectional Long Short-Term Memory (LSTM) and Conditional Random Fields (CRF) and experimented with various commonly used hyperparameters to assess their effect on the overall performance of our system. Our model gets two sources of information about words as input: pre-trained word embeddings and character-based representations and eliminated the need for any task-specific knowledge or feature engineering. We obtained state-of-the-art result on the standard ANERcorp corpus with an F1 score of 90.6%.

scholarly journals A hybrid deep-learning approach for complex biochemical named entity recognition

2021 ◽  
pp. 106958
Author(s):  
Jian Liu ◽  
Lei Gao ◽  
Sujie Guo ◽  
Rui Ding ◽  
Xin Huang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Named Entity Recognition ◽  
Entity Recognition ◽  
Learning Approach ◽  
Named Entity
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