Recent studies in human-robot interaction (HRI) have investigated ways to harness the
power of the crowd for the purpose of creating robot interaction logic through games and …

Traditional dialogue systems use a fixed silence threshold to detect the end of users' turns.
Such a simplistic model can result in system behaviour that is both interruptive and …

Even without speech recognition errors, robots may face difficulties interpreting natural-
language instructions. We present a method for robustly handling miscommunication …

Prior work in natural-language-driven navigation demonstrates success in systems
deployed in synthetic environments or applied to large datasets, both real and synthetic …

Referring to entities in situated dialog is a collaborative process, whereby interlocutors often
expand, repair and/or replace referring expressions in an iterative process, converging on …

In this paper, we present Scusi?, an anytime numerical mechanism for the interpretation of
spoken referring expressions. Our contributions are:(1) an anytime interpretation process …

We present a data-driven model for detecting suitable response locations in the user's
speech. The model has been trained on human–machine dialogue data and implemented …

We have been addressing the problem of acquiring attributes of unknown terms through
dialogues and previously proposed an approach using the implicit confirmation process. It is …

For the acquisition of knowledge through dialogues, it is crucial for systems to ask questions
that do not diminish the user's willingness to talk, ie, that do not degrade the user's …

Spatial Descriptions in Type Theory with Records Page 1 Spatial Descriptions in Type
Theory with Records Simon Dobnik and Robin Cooper Department of Philosophy …