Today’s global markets demand global processes. Increasingly, these processes are not only distributed, but also contain mobile aspects. We discuss two challenges brought about by these mobile business processes: Firstly, the need to specify the distribution of processes across several sites, and secondly, the need to specify the dialog flows of the applications implementing those processes on ...

We present a proof system which implements dialogue logic as originally developed by Lorenzen. Intuitionistic and classic logic are pre-de ned. A rule language allows to easily de ne dialogue rules for other logics. DiaLog provides multi-sorted logic. The system supports fully automated and interactive proof search. A user-friendly graphical interface displays the dialogue tableau, a dialogue t...

Understanding temporal commonsense concepts, such as times of occurrence and durations is crucial for event-centric language understanding. Reasoning about concepts in a complex context requires reasoning over both the stated world knowledge that underlines it. A recent study shows massive pre-trained LM still struggle with under contexts (e.g., dialog) because they only implicitly encode relev...

A major hindrance to rendering spoken dialog systems capable of ongoing, continuous listening without requiring a push-to-talk device is the problem of distinguishing speech which is intended for the system from that which is overheard. We present a decision-theoretic approach to this problem that exploits Bayesian models of spoken dialog at four levels of analysis within a domain-independent, ...

Dialogue modelling attempts to determine the way in which a dialog is developed. The dialogue strategy (i.e., the system behaviour) of an automatic dialogue system is determined by the dialogue model. Most dialogue systems use rule-based dialogue strategies, but recently, the probabilistic models have become very promising. We present probabilistic models based on the dialogue act concept, whic...

This paper presents our approach for the Dialog State Tracking Challenge 4, which focuses on a dialog state tracking task on human-human dialogs. The system works in an turn-taking manner. A probabilistic enhanced frame structure is maintained to represent the dialog state during the conversation. The utterance of each turn is processed by discriminative classification models to generate a simi...

We present work in progress on abstracting dialog managers from their domain in order to implement a dialog manager development tool which takes (among other data) a domain description as input and delivers a new dialog manager for the described domain as output. Thereby we will focus on two topics; firstly, the construction of domain descriptions with description logics and secondly, the inter...

Automatic program generation saves time, human resources, and allows receiving syntactically clear and logically correct modules. The 4-th generation programming languages are related to drawing the data and the processes of the subject area, as well as, to obtain a frame of the respective information system. The application can be separated in interface and business logic. That means, for an i...

This paper presents a system for human-robot communication situated in an ambient assisted living scenario, where the robot performs an orderand-serve-procedure. The interaction is based on different modalities that extract information from the auditory and the visual channel in order to obtain an intuitive and natural dialog. The required interaction dialog structure is represented in first-or...

Recent progress has seen an explosion in dialog systems, including voice-activated bots, text-based chatbots, and email-based bots for scheduling meetings. However real life interaction with these so-called intelligent agents consistently fall short of expectations. Consequently, this project deploys neural-based bots and rule-based bots across a wide variety of tasks in order to analyze where ...