Z. Ashktorab, C. Brown, M. Nandi, and A. Culotta, Tweedr: Mining Twitter to Inform, 2014.

F. Bénaben, M. Lauras, S. Truptil, and N. Salatgé, A Metamodel for Knowledge Management in Crisis Management, 2016 49th Hawaii International Conference on System Sciences (HICSS), pp.126-161, 2016.

M. A. Cameron, R. Power, B. Robinson, and J. Yin, Emergency Situation Awareness from Twitter for Crisis Management, Proceedings of the 21st International Conference on World Wide Web, pp.695-698, 2012.

C. Caragea, N. Mcneese, A. Jaiswal, G. Traylor, H. Kim et al., Classifying Text Messages for the Haiti Earthquake, p.10, 2011.

C. Caragea, A. Silvescu, and A. H. Tapia, Identifying Informative Messages in Disaster Events Using Convolutional Neural Networks, 2016.

J. Coche, A. Montarnal, A. Tapia, and F. Benaben, Actionable Collaborative Common Operational Picture in Crisis Situation: A Comprehensive Architecture Powered with Social Media Data, Collaborative Networks and Digital Transformation, pp.151-62, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02406449

J. Devlin, M. Chang, K. Lee, and K. Toutanova, BERT: Pre-Training of Deep Bidirectional Transformers for Language Understanding, 2018.

M. Imran, C. Castillo, J. Lucas, P. Meier, and S. Vieweg, AIDR: Artificial Intelligence for Disaster Response, Proceedings of the 23rd International Conference on World Wide Web -WWW '14 Companion, pp.159-62, 2014.

M. Imran, P. Mitra, and C. Castillo, Twitter as a Lifeline: Human-Annotated Twitter Corpora for NLP of Crisis-Related Messages, 2016.

E. F. Kim and . Tjong, Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition, 2003.

J. Kropczynski, J. Coche, E. Obeysekare, F. Bénaben, R. Grace et al., Aurélie Montarnal, and Andrea Tapia, Identifying Actionable Information on Social Media for Emergency Dispatch, p.11, 2018.

H. Le, R. C. Thanh, H. Sam, T. T. Cong-nguyen, and . Nguyen, Named Entity Recognition in Vietnamese Text Using Label Propagation, 2013 International Conference on Soft Computing and Pattern Recognition (SoCPaR), pp.366-70, 2013.

,

C. Li, J. Weng, Q. He, Y. Yao, A. Datta et al., TwiNER: Named Entity Recognition in Targeted Twitter Stream, Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2012.

H. Li, N. Guevara, N. Herndon, D. Caragea, K. Neppalli et al., Twitter Mining for Disaster Response: A Domain Adaptation Approach, 2015.

P. Liang, Semi-Supervised Learning for Natural Language, Thesis, Massachusetts Institute of Technology, 2005.

W. Liao and S. Veeramachaneni, A Simple Semi-Supervised Algorithm for Named Entity Recognition, Proceedings of the NAACL HLT 2009 Workshop on Semi-Supervised Learning for Natural Language Processing -SemiSupLearn '09, pp.58-65, 2009.

X. Liu, S. Zhang, F. Wei, and M. N. Zhou, Recognizing Named Entities in Tweets

Y. Liu, M. Ott, N. Goyal, J. Du, M. Joshi et al., RoBERTa: A Robustly Optimized BERT Pretraining Approach, 2019.

L. Maaten, G. Van-der, and . Hinton, Visualizing Data Using T-SNE, Journal of Machine Learning Research, vol.9, pp.2579-2605, 2008.

T. Mikolov, I. Sutskever, K. Chen, G. Corrado, and J. Dean, Distributed Representations WiP Paper -AI Systems for Crisis and Risks Proceedings of the 17th ISCRAM Conference, 2013.

T. Phrases and . Compositionality, Cs

A. Olteanu, C. Castillo, F. Diaz, and S. Vieweg, CrisisLex: A Lexicon for Collecting and Filtering Microblogged Communications in Crises, Eighth International AAAI Conference on Weblogs and Social Media, 2014.

A. Olteanu, S. Vieweg, and C. Castillo, What to Expect When the Unexpected Happens: Social Media Communications Across Crises, Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing -CSCW '15, pp.994-1009, 2015.

J. Pennington, R. Socher, and C. Manning, Glove: Global Vectors for Word Representation, Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, pp.1532-1575, 2014.

M. E. Peters, M. Neumann, L. S. Zettlemoyer, and W. Yih, Dissecting Contextual Word Embeddings: Architecture and Representation, EMNLP, 2018.

A. Ritter, S. Clark, M. , and O. Etzioni, Named Entity Recognition in Tweets: An Experimental Study, Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp.1524-1534, 2011.

V. Sanh, L. Debut, J. Chaumond, and T. Wolf, DistilBERT, a Distilled Version of BERT: Smaller, Faster, Cheaper and Lighter, 2020.

T. Terpstra and R. Stronkman, Towards a Realtime Twitter Analysis during Crises for Operational Crisis Management, 2012.

A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones et al., Attention Is All You Need, Advances in Neural Information Processing Systems, vol.30, pp.5998-6008, 2017.

. Vieweg, A. L. Sarah, K. Hughes, L. Starbird, and . Palen, Microblogging during Two Natural Hazards Events: What Twitter May Contribute to Situational Awareness, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 1079-1088. CHI '10, 2010.

X. Zhu and Z. N. Ghahramani, Learning from Labeled and Unlabeled Data with Label Propagation