teaching

ESSLLI 2008

Jonathan Ginzburg and I are going to teach a course on dialogue semantics and dialogue modelling at ESSLLI this summer.

  • Computational Dialogue Modelling

    The course will offer an introduction to the computational study of dialogue--a discipline that provides underpinnings for the design of dialogue systems and for models of human performance in conversational settings.

    Initially the main phenomena characteristic of dialogue interaction (including dialogue acts and fragments) will be surveyed. We will then use these as a benchmark for describing and evaluating different approaches that have been taken in the design of dialogue systems (including script-, logic-, and information state-based approaches). After this, we will sketch a formal framework that is able to model the various phenomena described earlier, paying special attention to the nature of context and its distribution among the dialogue participants. The final part of the course will give a brief account of some recent significant directions in research on dialogue, covering multi-party and multi-modal dialogue interaction.

    A dedicated website will be available soon.

Summer Semester 2007

  • Computational Pragmatics: Referring in Dialogue

    In June and July 2007, I taught a Blockseminar on the interpretation and generation of referential expressions in dialogue. This webpage contains more information on the contents of the course.

Summer Semester 2006

  • Tractament de Discurs i Diàleg

    During April and May 2006, I taught an undergraduate course on Discourse and Dialogue in Universitat Pompeu Fabra, in Barcelona. This was an introductory course that covered both theoretical and computational stuff. This page contains further information for students (in Catalan).

  • Tools for Practical Dialogue Modelling

    This was a practical course about Dialogue Modelling, which I taught during May and June 2006 in my department at Potsdam University. The course focussed on the empirical and practical aspects of the study of dialogue, from the collection and annotation of conversational data, to the use of machine learning and dialogue management toolkits. The course was hands on, and gave experience in working with these tools. More information about the contents of the course can be found here.