End-of-Query Detection in Text Chat System

Abstract

I propose a prediction model for end-of-query detection. It is a common practice that a chatbot system responds an answer when they get a single utterance from the user. A problem arises when a human breaks their query into multiple utterances and a chatbot system can not respond appropriately, leading to lower user experience. In this paper, I propose a prediction method based on LSTM for end-of-query detection.