A method for dialog state tracking uses a neural network model, such as an MemN2N
model, which has been trained to receive a representation of a question and a …

In task-oriented dialogue systems, spoken language understanding, or SLU, refers to the
task of parsing natural language user utterances into semantic frames. Making use of …

Task-oriented virtual assistants (or simply chatbots) are in very high demand these days.
They employ third-party APIs to serve end-users via natural language interactions. Chatbots …

In a human-machine dialog scenario, deciding the appropriate time for the machine to take
the turn is an open research problem. In contrast, humans engaged in conversations are …

Dialog state tracking in a spoken dialog system is the task that tracks the flow of a dialog and
identifies accurately what a user wants from the utterance. Since the success of a dialog is …

This paper presents a dialog state tracker submitted to Dialog State Tracking Challenge 5
(DSTC 5) with details. To tackle the challenging cross-language human-human dialog state …

Dialog state tracking, which refers to identifying the user intent from utterances, is one of the
most important tasks in dialog management. In this paper, we present our dialog state …

(57) ABSTRACT A call center system for reducing communication latency includes an
input/output (I/O) interface for receiving one or more queries from a customer terminal; a …

The main objective of the task-oriented dialogue system is to identify the intent and needs of
human dialogue. Many existing studies are conducted under the setting of written dialogue …

Recently, as society continues to age, automation of watching elderly people who live apart
from their families has been gradually expected. However, we must prevent them from losing …