Indonesian disaster named entity recognition from multi source information using bidirectional LSTM (BiLSTM)-Reference-Cited by-同舟云学术

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Indonesian disaster named entity recognition from multi source information using bidirectional LSTM (BiLSTM)

Published:2024-09 Issue:3 Volume:10 Page:100358
ISSN:2199-8531
Container-title:Journal of Open Innovation: Technology, Market, and Complexity
language:en
Short-container-title:Journal of Open Innovation: Technology, Market, and Complexity

Author:

Shidik Guruh Fajar,Saputra Filmada Ocky,Saraswati Galuh Wilujeng,Winarsih Nurul Anisa Sri,Rohman Muhammad Syaifur,Pramunendar Ricardus Anggi,Kusuma Edi Jaya,Ratmana Danny Oka,Venus Valentijn,Andono Pulung Nurtantio,Hasibuan Zainal Arifin

Publisher

Elsevier BV

Reference51 articles.

1. A new stock price forecasting method using active deep learning approach;Alkhatib;J. Open Innov. Technol. Mark. Complex.,2022

2. Chinese named entity recognition in football based on ALBERT-BiLSTM model;An;Appl. Sci.,2023

3. Implementing deep learning-based named entity recognition for obtaining narcotics abuse data in Indonesia;Azhar;IAES Int. J. Artif. Intell.,2024

4. Named-entity recognition for disaster related Filipino news articles;Bern Maris Dela Cruz;Tencon,2018

5. Verification of novel integrations of swarm intelligence algorithms into deep learning neural network for flood susceptibility mapping;Bui;J. Hydrol.,2020

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