Question answering method for infrastructure damage information retrieval from textual data using bidirectional encoder representations from transformers

Manual searching for infrastructure damage information from large amounts of textual data requires considerable time and effort. A fast and accurate collection of damage information from such data is necessary for effective infrastructure planning. In this study, a question answering method was prop...

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Vydáno v:	Automation in construction Ročník 134; s. 104061
Hlavní autoři:	Kim, Yohan, Bang, Seongdeok, Sohn, Jiu, Kim, Hyoungkwan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Amsterdam Elsevier B.V 01.02.2022 Elsevier BV
Témata:	Bidirectional encoder representations from transformers Coders Disaster management Earthquake damage Earthquakes Information retrieval Infrastructure Infrastructure management Model testing Natural language processing Question answering Questions Representations Transformers Information retrieval Bidirectional encoder representations from transformers Natural language processing Question answering Infrastructure management Disaster management
ISSN:	0926-5805, 1872-7891
On-line přístup:	Získat plný text
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