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Social media posts are frequently identified as a valuable source of open-source intelligence for disaster response, and pre-LLM NLP techniques have been evaluated on datasets of crisis tweets.
“Language Models are Few-Shot Learners”, 2020
Tom. Brown et al · 2005
Earlier work this paper cites.
“Practical extraction of disaster-relevant information from social media”
Muhammad Imran et al · 2013
Earlier work this paper cites.
“Extracting information nuggets from disaster-related messages in social media”
Muhammad Imran et al · 2013
Earlier work this paper cites.
“CrisisLex: A Lexicon for Collecting and Filtering Microblogged Communications in Crises.”
Alexandra Olteanu, Carlos Castillo, Fernando Diaz and Sarah Vieweg · 2014
Earlier work this paper cites.
“What to expect when the unexpected happens: Social media communications across crises”
Alexandra Olteanu, Sarah Vieweg and Carlos Castillo · 2015
Earlier work this paper cites.
“Twitter as a Lifeline: Human-annotated Twitter Corpora for NLP of Crisis-related Messages”
Muhammad Imran, Prasenjit Mitra and Carlos Castillo · 2016
Earlier work this paper cites.
“CrisisMMD: Multimodal Twitter Datasets from Natural Disasters”
Firoj Alam, Ferda Ofli and Muhammad Imran · 2018
Earlier work this paper cites.
“Zero-Shot Learning: A Comprehensive Evaluation of the Good, the Bad and the Ugly”
Yongqin Xian, Christoph Lampert, Bernt Schiele and Zeynep Akata · 2018
Earlier work this paper cites.
“Analysis of social media data using multimodal deep learning for disaster response”
Ferda Ofli, Firoj Alam and Muhammad Imran · 2020
Earlier work this paper cites.
“CrisisBench: Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing”
Firoj Alam, Hassan Sajjad, Muhammad Imran and Ferda Ofli · 2021
Earlier work this paper cites.
“Combining self-training with deep learning for disaster tweet classification”
Hongmin Li, Doina Caragea and Cornelia Caragea · 2021
Earlier work this paper cites.
“An Efficient Multi-Modal Classification Approach for Disaster-related Tweets”
Ankur Mondal, Athishay Kesan, Andrea Rodrigues and Jossy George · 2022
Cited alongside, same era.
“Large Language Models are Zero-Shot Reasoners”
Takeshi Kojima et al · 2022
Cited alongside, same era.
“A stacking ensemble approach for identification of informative tweets on twitter data”
Siva Dasari, Srinivas Gorla and Prasad PVGD · 2023
Cited alongside, same era.
“Categorizing disaster tweets using learning based models for emergency crisis management”
K Asinthara, Meghna Jayan and Lija Jacob · 2023
Cited alongside, same era.
“Active Learning with few shot learning for crisis management”
Matthieu François and Paul Gay · 2023
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“A social media event detection framework based on transformers and swarm optimization for public notification of crises and emergency management”
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OpenAI et al · 2024
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“A Deep Parallel Hybrid Fusion Model for disaster tweet classification on Twitter data”
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“Categorization of tweets for damages: infrastructure and human damage assessment using fine-tuned BERT model”
Muhammad Malik, Muhammad Younas, Mona Jamjoom and Dmitry Ignatov · 2024
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“CrisisTransformers: Pre-trained language models and sentence encoders for crisis-related social media texts”
Rabindra Lamsal, Maria Read and Shanika Karunasekera · 2024
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