A Natural Language Understanding Model COVID-19 based for chatbots

Valmir Oliveira Dos Santos Júnior, João Araújo Castelo Branco,Marcos Antonio De Oliveira,Ticiana L. Coelho Da Silva,Lívia Almada Cruz,Regis Pires Magalhães

2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)（2021）

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摘要

It is increasingly common to use chatbots as an interface to use services. Making this experience more humanized requires the chatbot to understand natural language and express itself using natural language. One crucial step to achieve this is to label the data with intentions and entities. After labeling, one can use the labeled data to train a Natural Language Understanding (NLU) component. The ...

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