Out-of-Domain Detection Method Based on Sentence Distance for Dialogue Systems

摘要

For dialogue systems, it is critical to detect the out-of-domain (OOD) utterances in a conversation. We detect OOD sentences occurring in a dialogue based on sentence distances. The sentence distances are measured by sentence embedding vectors using RNN(Recurrent Neural Network) encoders with the attention mechanism. Our approach improves the accuracy of the out-of-domain detection(OOD) method, and we apply this method to develop a chatbot system for customer services.