Application of named entity recognition on tweets during earthquake disaster: a deep learning-based approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-021-06370-4.pdf
Reference76 articles.
1. Aarthi D, Viswanathan V, Nandhini B, Ilakiyaselvan N (2019) Question classification using a rule based model. Int J Innov Technol Explor Eng 9(1):4172–4176
2. Aboaoga M, Ab Aziz MJ (2013) Arabic person names recognition by using a rule based approach. J Comput Sci 9(7):922–927
3. Agrawal A, Tripathi S, Vardhan M (2021) Active learning approach using a modified least confidence sampling strategy for named entity recognition. Prog Artif Intell
4. Ajees AP, Manju K, Mary Idicula S (2019) An ımproved word representation for deep learning based NER in Indian languages. Information (Switzerland) 10(6)
5. Alajlan S, Coenen F, Konev B, Mandya A (2019) Ontology learning from twitter data. In: IC3K 2019—Proceedings of the 11th ınternational joint conference on knowledge discovery, knowledge engineering and knowledge management, vol 2, pp 94–103
Cited by 14 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. Indonesian disaster named entity recognition from multi source information using bidirectional LSTM (BiLSTM);Journal of Open Innovation: Technology, Market, and Complexity;2024-09
2. Comparative Analysis of RNN, LSTM, Bi-LSTM Performance for Location and Time Entity Recognition in Forest Fire Texts;2024 2nd International Conference on Software Engineering and Information Technology (ICoSEIT);2024-02-28
3. Discovering Named Entities at Scale of a Data Mining Perspective on Large Text Corpora;2024 IEEE 3rd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA);2024-02-27
4. Six classes named entity recognition for mapping location of Indonesia natural disasters from twitter data;International Journal of Intelligent Computing and Cybernetics;2024-01-03
5. Sentence Embedding with Named Entities for Conversation Fingerprint;2023 International Conference on Machine Learning and Applications (ICMLA);2023-12-15
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3