Automating data collection for disaster resilience open-ended interviews using AI and NLP (2025)
- Authors:
- Autor USP: SILVA, FLAVIO SOARES CORREA DA - IME
- Unidade: IME
- DOI: 10.1007/978-981-96-8769-5_35
- Subjects: INTELIGÊNCIA ARTIFICIAL; PROCESSAMENTO DE LINGUAGEM NATURAL; COLETA DE DADOS; DESASTRES NATURAIS; COMPORTAMENTO RESILIENTE
- Language: Inglês
- Objetivos de Desenvolvimento Sustentável (ODS):
13. Ação contra a mudança global do clima
- Imprenta:
- Source:
- Título: Lecture Notes in Civil Engineering
- ISSN: 2366-2557
- Volume/Número/Paginação/Ano: v. 685, p. 489-510, 2025
- Conference titles: International Conference on Construction Applications of Virtual Reality, Volume 3 - CONVR
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
KATEBI, Milad et al. Automating data collection for disaster resilience open-ended interviews using AI and NLP. Lecture Notes in Civil Engineering. Cham: Springer. Disponível em: https://doi.org/10.1007/978-981-96-8769-5_35. Acesso em: 18 mar. 2026. , 2025 -
APA
Katebi, M., Poshdar, M., Jelodar, M. B., & Silva, F. S. C. da. (2025). Automating data collection for disaster resilience open-ended interviews using AI and NLP. Lecture Notes in Civil Engineering. Cham: Springer. doi:10.1007/978-981-96-8769-5_35 -
NLM
Katebi M, Poshdar M, Jelodar MB, Silva FSC da. Automating data collection for disaster resilience open-ended interviews using AI and NLP [Internet]. Lecture Notes in Civil Engineering. 2025 ; 685 489-510.[citado 2026 mar. 18 ] Available from: https://doi.org/10.1007/978-981-96-8769-5_35 -
Vancouver
Katebi M, Poshdar M, Jelodar MB, Silva FSC da. Automating data collection for disaster resilience open-ended interviews using AI and NLP [Internet]. Lecture Notes in Civil Engineering. 2025 ; 685 489-510.[citado 2026 mar. 18 ] Available from: https://doi.org/10.1007/978-981-96-8769-5_35 - Understanding fun
- Princípios de sistemas de informação
- Knowledge-based modality selection for information presentation in a mobile system for primary homecare
- Agent-based group modelling for ambient intelligence
- A framework for interacting situated agents in virtual environments
- Semantic information extraction from images of complex documents
- LS2C: a platform to design, implement and execute social computations
- On the ethics of democratic access to web information: some reflections on recent work by Luciano Floridi
- Information flow and knowledge sharing
- Cooperation between knowledge based systems
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