Long short-term memory networks for automatic generation of conversations
Tomohiro Fujita, Wenjun Bai, Changqin Quan · 2017
Human Machine Interface demands the communicative propriety that would be applied in various linguistic tasks. In this research, we develop an intelligent `chat bot', which generates conversational sentences via recurrent neural network and its coupled memory unit, long short-term memory (LSTM). Word strings in conversations are considered as time series data. Using a single neural network model that performs a simple task of outputting the next word from the preceding word, a conversational sentence can be generated by connecting the words. In the experiment, we performed the linguistic `Turning Test' to evaluate the proposed system.