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Record |
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Author  |
Pereira, J.; Fidalgo, R.; Lotufo, R.; Nogueira, R. |
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Title |
Crisis Event Social Media Summarization with GPT-3 and Neural Reranking |
Type |
Conference Article |
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Year |
2023 |
Publication |
Proceedings of the 20th International ISCRAM Conference |
Abbreviated Journal |
Iscram 2023 |
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Pages |
371-384 |
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Keywords |
Crisis Management; Social Media; Multi-Document Summarization; Query-Based Summarization. |
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Abstract |
Managing emergency events, such as natural disasters, requires management teams to have an up-to-date view of what is happening throughout the event. In this paper, we demonstrate how a method using a state-of-the-art open-sourced search engine and a large language model can generate accurate and comprehensive summaries by retrieving information from social media and online news sources. We evaluated our method on the TREC CrisisFACTS challenge dataset using automatic summarization metrics (e.g., Rouge-2 and BERTScore) and the manual evaluation performed by the challenge organizers. Our approach is the best in comprehensiveness despite presenting a high redundancy ratio in the generated summaries. In addition, since all pipeline components are few-shot, there is no need to collect training data, allowing us to deploy the system rapidly. Code is available at https://github.com/neuralmind-ai/visconde-crisis-summarization. |
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Address |
Centro de Inform´atica, Universidade Federal de Pernambuco; NeuralMind |
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Publisher |
University of Nebraska at Omaha |
Place of Publication |
Omaha, USA |
Editor |
Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi |
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Language |
English |
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Series Editor |
Hosssein Baharmand |
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Series Volume |
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Edition |
1 |
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Track |
Social Media for Crisis Management |
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Conference |
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Notes |
http://dx.doi.org/10.59297/JJYT4136 |
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no |
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Call Number |
ISCRAM @ idladmin @ |
Serial |
2532 |
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