Currently, production and comprehension are regarded as quite distinct in accounts of
language processing. In rejecting this dichotomy, we instead assert that producing and …

We present a general model and conceptual framework for specifying architectures for
incremental processing in dialogue systems, in particular with respect to the topology of the …

The study of human-human communication and the development of computational models
for human-agent communication have diverged significantly throughout the last decade. Yet …

Pretraining on human corpus and then finetuning in a simulator has become a standard
pipeline for training a goal-oriented dialogue agent. Nevertheless, as soon as the agents are …

The past decade has seen a revolution in the field of spoken dialogue systems. As in other
areas of Computer Science and Artificial Intelligence, data-driven methods are now being …

This paper describes recent work on the DynDial project∗ towards incremental semantic
interpretation in dialogue. We outline our domain-general grammar-based approach, using …

We explore methods for managing conversational engagement in open-world, physically
situated dialog systems. We investigate a self-supervised methodology for constructing …

Although disfluent speech is pervasive in spoken conversation, disfluencies have received
little attention within formal theories of grammar. The majority of work on disfluent language …

Using spontaneous conversational speech for TTS raises questions on how disfluencies
such as filled pauses (FPs) should be approached. Detailed annotation of FPs in training …

Text-to-speech synthesis (TTS) has witnessed rapid progress in recent years, where neural
methods became capable of producing audios with high naturalness. However, these efforts …