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 …

This article describes the development of Microsoft **
artificial intelligence (AI) assistants and chatbots by reviewing scholarly publications from …

This paper examines the potential uses of ChatGPT in generating assessment tasks that can
be used across different disciplines in higher education. To illustrate this, we provide …

Building conversational agents that can conduct natural and prolonged conversations has
been a major technical and design challenge, especially for community-facing …

Human conversations naturally evolve around related concepts and scatter to multi-hop
concepts. This paper presents a new conversation generation model, ConceptFlow, which …

Many real-world open-domain conversation applications have specific goals to achieve
during open-ended chats, such as recommendation, psychotherapy, education, etc. We …

Ground-truth labeling is an important activity in machine learning. Many studies have
examined how crowdworkers apply labels to records in machine learning datasets …

A conversational information retrieval (CIR) system is an information retrieval (IR) system
with a conversational interface, which allows users to interact with the system to seek …

This paper describes the training of a general-purpose German sentiment classification
model. Sentiment classification is an important aspect of general text analytics. Furthermore …