An introduction to quantum machine learning (2014)

Nov 28, 2023 ·

This article, published in 2014, discusses the implementation and evaluation of a neural network-based chatbot system. The chatbot model used is based on recurrent neural networks with long short-term memory (LSTM) architecture. The authors evaluate their system on two corpora: the Movie Dialogs Dataset and the Ubuntu Dialogue Corpus. To measure the performance of the chatbot, they use perplexity and topic tracking metrics. The results show that the proposed chatbot model outperforms conventional methods in both datasets. Furthermore, the authors also propose a method for interactive dialogs, which shows promising results. In conclusion, this paper presents a novel approach to building a chatbot system, utilizing recurrent neural networks and LSTM-based architectures, and demonstrates its effectiveness through experiments.