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- W4383560188 abstract "Chatbots have always been a hot topic in the field of natural language processing, which aims to train models to understand input content and give cognitively logical answers. With the continuous development of artificial intelligence technology, the performance of chat robots has continuously made breakthroughs, and has been widely used in many fields such as smart home, e-commerce, and automatic consultation. In this article, we introduce the basic techniques and methods of deep learning-based chatbots, including recurrent neural network (RNN), long short-term memory (LSTM), Seq2Seq model, attention mechanism, etc. We also review a chatbot designed using RNN and quality testing result. We finally summarize the existing research issues of the chatbot and discuss its possible future works." @default.
- W4383560188 created "2023-07-08" @default.
- W4383560188 creator A5020237777 @default.
- W4383560188 date "2023-06-14" @default.
- W4383560188 modified "2023-10-05" @default.
- W4383560188 title "Performance comparison of representative chatbots based on deep learning" @default.
- W4383560188 doi "https://doi.org/10.54254/2755-2721/6/20230936" @default.
- W4383560188 hasPublicationYear "2023" @default.
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