Chatbots are intelligent conversational agents that can interact with users through natural
languages. As chatbots can perform a variety of tasks, many companies have committed …

With the emergence of various information access systems exhibiting increasing complexity,
there is a critical need for sound and scalable means of automatic evaluation. To address …

Conversational information seeking (CIS) is concerned with a sequence of interactions
between one or more users and an information system. Interactions in CIS are primarily …

In this paper, we survey the methods and concepts developed for the evaluation of dialogue
systems. Evaluation, in and of itself, is a crucial part during the development process. Often …

One of the core components of modern spoken dialogue systems is the belief tracker, which
estimates the user's goal at every step of the dialogue. However, most current approaches …

A significant barrier to progress in data-driven approaches to building dialog systems is the
lack of high quality, goal-oriented conversational data. To help satisfy this elementary …

Scaling semantic parsing models for task-oriented dialog systems to new languages is often
expensive and time-consuming due to the lack of available datasets. Available datasets …

This paper presents the Frames dataset (Frames is available at http://datasets. maluuba.
com/Frames), a corpus of 1369 human-human dialogues with an average of 15 turns per …

We study a symmetric collaborative dialogue setting in which two agents, each with private
knowledge, must strategically communicate to achieve a common goal. The open-ended …

Recently, pre-training methods have shown remarkable success in task-oriented dialog
(TOD) systems. However, most existing pre-trained models for TOD focus on either dialog …