Dialogue systems are a popular natural language processing (NLP) task as it is promising in
real-life applications. It is also a complicated task since many NLP tasks deserving study are …

In recent years, several machine learning models have been proposed. They are trained
with a language modelling objective on large-scale text-only data. With such pretraining …

The NLP community has seen substantial recent interest in grounding to facilitate interaction
between language technologies and the world. However, as a community, we use the term …

Visual Dialog involves" understanding" the dialog history (what has been discussed
previously) and the current question (what is asked), in addition to grounding information in …

Intelligent systems that aim at mastering language as humans do must deal with its semantic
underspecification, namely, the possibility for a linguistic signal to convey only part of the …

This paper describes the Critical Role Dungeons and Dragons Dataset (CRD3) and related
analyses. Critical Role is an unscripted, live-streamed show where a fixed group of people …

People rely heavily on context to enrich meaning beyond what is literally said, enabling
concise but effective communication. To interact successfully and naturally with people, user …

A method for creating a vision-and-language (V&L) model is to extend a language model
through structural modifications and V&L pre-training. Such an extension aims to make a …

Building computer systems that can converse about their visual environment is one of the
oldest concerns of research in Artificial Intelligence and Computational Linguistics (see, for …

Dialogue participants often refer to entities or situations repeatedly within a conversation,
which contributes to its cohesiveness. Subsequent references exploit the common ground …