There is a resurgent interest in develo** intelligent open-domain dialog systems due to
the availability of large amounts of conversational data and the recent progress on neural …

Dialogue systems have achieved growing success in many areas thanks to the rapid
advances of machine learning techniques. In the quest for generating more human-like …

Most of the open-domain dialogue models tend to perform poorly in the setting of long-term
human-bot conversations. The possible reason is that they lack the capability of …

To quantify how well natural language understanding models can capture consistency in a
general conversation, we introduce the DialoguE COntradiction DEtection task (DECODE) …

Chatbots become quite hyped in recent times as they can provide an intuitive and easy-to-
use natural language human-computer interface. Nevertheless, they are not yet widespread …

One of the most crucial problem on training personalized response generation models for
conversational robots is the lack of large scale personal conversation data. To address the …

Computational syntactic processing is a fundamental technique in natural language
processing. It normally serves as a pre-processing method to transform natural language …

It is difficult to train a personalized task-oriented dialogue system because the data collected
from each individual is often insufficient. Personalized dialogue systems trained on a small …

ABSTRACT A conversational interface is an interface that the user can interact with by
means of a conversation. The conversation can occur by speech but also by text input. When …

This paper presents a taxonomy of errors in chat-oriented dialogue systems. Compared to
human-human conversations and task-oriented dialogues, little is known about the errors …