Recent years have witnessed a surge of interest in the field of open-domain dialogue.
Thanks to the rapid development of social media, large dialogue corpus from the Internet …

The relationship of comments to code, and in particular, the task of generating useful
comments given the code, has long been of interest. The earliest approaches have been …

Creating high-quality annotated data for task-oriented dialog (ToD) is known to be
notoriously difficult, and the challenges are amplified when the goal is to create equitable …

In task-oriented dialogue (ToD), a user holds a conversation with an artificial agent with the
aim of completing a concrete task. Although this technology represents one of the central …

User intent detection is vital for understanding their demands in dialogue systems. Although
the User Intent Classification (UIC) task has been widely studied, for large-scale industrial …

Recent work has shown that self-supervised dialog-specific pretraining on large
conversational datasets yields substantial gains over traditional language modeling (LM) …