To promote the research and development of dialogue breakdown detection for dialogue
systems, we have been organizing a series of dialogue breakdown detection challenges to …

Conversational agents have become ubiquitous in assisting with daily tasks, and are
expected to possess human-like features. One such feature is lexical entrainment (LE), a …

In this paper, we propose a dialog breakdown detection method for non-task-oriented dialog
systems, using multimodal information such as language information, acoustic information …

Identifying breakdowns in ongoing dialogues helps to improve communication effectiveness.
Most prior work on this topic relies on human annotated data and data augmentation to learn …

Building user trust in dialogue agents requires smooth and consistent dialogue exchanges.
However, agents can easily lose conversational context and generate irrelevant utterances …

Abstract Task-Oriented Dialog (TOD) systems often suffer from dialog breakdowns-situations
in which users cannot or do not want to proceed with the conversation. Ideally TOD systems …

Detecting dialogue breakdown in real time is critical for conversational AI systems, because
it enables taking corrective action to successfully complete a task. In spoken dialog systems …

Ensuring smooth communication is essential in a chat-oriented dialogue system, so that a
user can obtain meaningful responses through interactions with the system. Most prior work …

Many chatbots still struggle with correctly interpreting and responding to user enquiries.
Therefore, it is important to figure out how and why chatbot-human conversations break …

Com o crescimento constante no uso de tecnologias de relacionamento com o consumidor
na Internet, os sistemas de chatbot se tornaram onipresentes no processamento de …