Presentation information

Poster presentation

General Session » Interactive

[3Pin1] インタラクティブ(1)

Thu. Jun 7, 2018 9:00 AM - 10:40 AM Room P (4F Emerald Lobby)

9:00 AM - 10:40 AM

[3Pin1-15] End-of-Query Detection in Text Chat System

〇Shun Tanaka1 (1. CyberAgent, Inc.)

Keywords:chatbot, query detection

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.