Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10071/21138
Autoria: | Boné, J. Ferreira, J. C. Ribeiro, R. Cadete, G. |
Data: | 2020 |
Título próprio: | DisBot: a portuguese disaster support dynamic knowledge chatbot |
Volume: | 10 |
Número: | 24 |
ISSN: | 2076-3417 |
DOI (Digital Object Identifier): | 10.3390/app10249082 |
Palavras-chave: | Disaster management Community resilience Situational awareness Natural language processing Chatbots Knowledge graphs |
Resumo: | This paper presents DisBot, the first Portuguese speaking chatbot that uses social media retrieved knowledge to support citizens and first-responders in disaster scenarios, in order to improve community resilience and decision-making. It was developed and tested using Design Science Research Methodology (DSRM), being progressively matured with field specialists through several design and development iterations. DisBot uses a state-of-the-art Dual Intent Entity Transformer (DIET) architecture to classify user intents, and makes use of several dialogue policies for managing user conversations, as well as storing relevant information to be used in further dialogue turns. To generate responses, it uses real-world safety knowledge, and infers a dynamic knowledge graph that is dynamically updated in real-time by a disaster-related knowledge extraction tool, presented in previous works. Through its development iterations, DisBot has been validated by field specialists, who have considered it to be a valuable asset in disaster management. |
Arbitragem científica: | yes |
Acesso: | Acesso Aberto |
Aparece nas coleções: | CTI-RI - Artigos em revistas científicas internacionais com arbitragem científica ISTAR-RI - Artigos em revistas científicas internacionais com arbitragem científica |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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applsci-10-09082.pdf | Versão Editora | 1,61 MB | Adobe PDF | Ver/Abrir |
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