期刊
出版社
IEEE
关键词
Conversation Generation; Deep-Learning; Long Short Term Memory (LSTM); Japanese tweets
类别
资金
- Okawa Foundation for Information and Telecommunications
- National Natural Science Foundation of China [61472117]
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.
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