Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Boné, J., Ferreira, J. C., Ribeiro, R. & Cadete, G. (2020). DisBot: a portuguese disaster support dynamic knowledge chatbot. Applied Sciences. 10 (24)
Exportar Referência (IEEE) 
J. Boné et al.,  "DisBot: a portuguese disaster support dynamic knowledge chatbot", in Applied Sciences, vol. 10, no. 24, 2020
Exportar BibTeX 
@article{boné2020_1713508570044,
	author = "Boné, J. and Ferreira, J. C. and Ribeiro, R. and Cadete, G.",
	title = "DisBot: a portuguese disaster support dynamic knowledge chatbot",
	journal = "Applied Sciences",
	year = "2020",
	volume = "10",
	number = "24",
	doi = "10.3390/app10249082",
	url = "https://www.mdpi.com/journal/applsci"
}
Exportar RIS 
TY  - JOUR
TI  - DisBot: a portuguese disaster support dynamic knowledge chatbot
T2  - Applied Sciences
VL  - 10
IS  - 24
AU  - Boné, J.
AU  - Ferreira, J. C.
AU  - Ribeiro, R.
AU  - Cadete, G.
PY  - 2020
SN  - 2076-3417
DO  - 10.3390/app10249082
UR  - https://www.mdpi.com/journal/applsci
AB  - 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.
ER  -