[1N2-J-9] Natural language processing, information retrieval: dialogue

[1N2-J-9-02] Applying a neural network model of a dialogue considering the context to Japanese ordering dialogue

〇Yuri Murayama¹, Ichiro Kobayashi², Takeshi Morita³, Yukiko Nakano⁴, Takahira Yamaguchi³ (1. Ochanomizu University Graduate School , 2. Ochanomizu University, 3. Keio University, 4. Seikei University)

Keywords:Question Answering, Neural Network

There are many works on dialogue systems considering the context using a neural network. In this work, to realize a robot cafeteria, we applied a neural network model to a process of an ordering dialogue. We created a Japanese ordering dialogue dataset and conducted an experiment with it. As a result, we obtained a mean test error rate of low value.