LINGUIST List 10.33

Fri Jan 8 1999

Calls: Dialogue & Prosody, Artificial Intelligence

Editor for this issue: Jody Huellmantel <>

As a matter of policy, LINGUIST discourages the use of abbreviations or acronyms in conference announcements unless they are explained in the text.


  1. Marc Swerts, 2nd CALL: ESCA Workshop on Dialogue and Prosody
  2. Peter Lucas, AIMDM'99: Workshop on prognostic methods

Message 1: 2nd CALL: ESCA Workshop on Dialogue and Prosody

Date: Fri, 08 Jan 1999 09:38:40 +0100
From: Marc Swerts <>
Subject: 2nd CALL: ESCA Workshop on Dialogue and Prosody


You are invited to submit an abstract plus title, before January 15
1999, to the


The IPO, Center for Research on User-System Interaction in Eindhoven
(The Netherlands), in association with the Eindhoven University of
Technology (TUE) and the European Speech Communication Association
(ESCA), is pleased to announce a 3-day workshop on dialogue and
prosody, which will take place in the Eindhoven area in the week
before Eurospeech `99. Anyone dealing with theoretical, empirical,
computational or experimental approaches to the interplay between
dialogue and prosody is invited to submit an abstract. We specifically
welcome those contributions of which the content is directly relevant
for human-computer interaction.

Now that spoken dialogue systems are becoming more sophisticated,
increasing demands are placed on the way these systems deal with
prosody, both in the generation of system utterances as in the
processing of user utterances. On the one hand, appropriate prosody
may facilitate the processing of system utterances by users of a
dialogue system. On the other hand, dialogue systems may profit from
taking into consideration prosodic information of user utterances at
different levels of representation. However, for experts in the area
of prosody it is not always easy to link their work to the
developments in the domain of dialogue modelling, whereas researchers
working in the area of dialogue modelling often are rather naive with
respect to prosodic modelling. The goal of the workshop is bringing
together researchers from both domains to provide either group with a
better view of developments in the other domain and in this way
stimulate progress.

The format of the workshop will consist of keynote presentations by
experts in the field of dialogue and prosody modelling, combined with
oral and poster presentations of accepted papers. All presentations
will be plenary. All contributions to the workshop will be published in
workshop proceedings, that will consist of 4-page camera-ready papers.
As an additional result of the workshop, the organizers intend to
produce a working document that will contain an overview of the
state-of-the-art, some open research questions, and position statements
regarding the theme of dialogue and prosody. In order to maximize the
possibilities for fruitful discussion, the number of participants will
be limited to about a hundred. Priority will be given to persons with
accepted papers on a first-come first-served basis.

Questions in this domain that could be addressed at the workshop are
for instance:

- Which prosodic features of user utterances help the system to improve
performance with respect to ASR, speech understanding, and dialogue
management (turn-taking, back-channeling)?

- How can those features be extracted automatically and be made
available at the right time? 

- With which prosodic features should system utterances be provided to
help the user extract the information conveyed by the system, and to
improve the fluency of the interaction?

- To what extent are prosodic characteristics of user utterances in
their interactions with dialogue systems different from those in
human-human interaction?

- How do we deal with prosodic variability in interactions between
humans and machines, for instance due to level of expertise (novices
versus experts)?

Researchers working in this domain are invited to email a 400-words
abstract (plain ascii format), together with title, affiliation and
keywords to
If electronic submission is not possible, please send 5 copies of a
1-page abstract to

IPO, Center for Research on User-System Interaction
ETRW on Dialogue and Prosody
P.O. Box 513
NL-5600 MB Eindhoven (The Netherlands)

Herb Clark
Julia Hirschberg
Elmar Noeth
Stephen Pulman

Gosta Bruce (Sweden)
Nick Campbell (Japan)
Bert van Coile (Belgium)
Carlos Gussenhoven (The Netherlands)
Julia Hirschberg (USA)
Daniel Hirst (France)
Merle Horne (Sweden)
Jill House (UK)
Stephen Isard (UK)
Johanna Moore (UK)
Elmar Noeth (Germany)
Anton Nijholt (The Netherlands)
Mari Ostendorf (USA)
Thomas Portele (Germany)
Stephen Pulman (UK)
Angelien Sanderman (The Netherlands)
Elizabeth Shriberg (USA)
David Traum (USA)
Gert Veldhuijzen van Zanten (The Netherlands)
Marilyn Walker (USA)

Marc Swerts (IPO, UIA/FWO)
Jacques Terken (IPO)
Werner Verhelst (VUB)
Walter Daelemans (KUB, UIA)
Bert van Coile (L&H Speech Products)

European Speech Communication Association (ESCA)
Vlaams-Nederlands Comite voor Nederlandse Taal en Spraak (VNC)
IPO, Center for Research on User-System Interaction
Eindhoven University of Technology (TUE)
Antwerp University (UIA)

The ETRW on Dialogue and Prosody will take place in the Koningshof
conference center, which is located in a rural setting in Veldhoven,
at close distance from Eindhoven (


JANUARY 15, 1999: Deadline for submission of title and abstract

MARCH 1, 1999: Notification of acceptance, Instruction for authors,
Information on accommodation

JULY 1, 1999: Deadline for 4-page camerady-ready paper, Early

SEPTEMBER 1-3, 1999: ETRW on Dialogue and Prosody

For further information, please contact Marc Swerts (
or Jacques Terken ( Updated information will
also be available at
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Message 2: AIMDM'99: Workshop on prognostic methods

Date: Fri, 8 Jan 1999 14:30:07 +0100 (MET)
From: Peter Lucas <>
Subject: AIMDM'99: Workshop on prognostic methods

 AIMDM'99 -- Call for Papers for the workshop

 ** Prognostic Models in Medicine **
 Artificial Intelligence and Decision Analytic Approaches

 during the
 Joint European Conference on Artificial Intelligence
 in Medicine and Medical Decision Making (AIMDM'99)
 in Aalborg, Denmark, 20th - 24th June 1999

 (WWW version of this CFP:
 (WWW version of of AIMDM

Important dates

 * Submission deadline of structured abstracts: 1 March 1999
 * Notification of acceptance: 15 April 1999
 * Conference: 20th - 24th June 1999
 * Workshop: Sunday, 20th June 1999

Prognostic models are increasingly used in medicine to predict the
natural course of disease, or the expected outcome after
treatment. Prognosis forms an integral part of systems for treatment
selection and treatment planning. In evaluating quality of care,
prognostic models are used for predicting outcome, such as mortality,
which is compared with the actual measured outcome. Furthermore,
prognostic models may play an important role in guiding diagnostic
problem solving, e.g. by only requesting information concerning tests,
of which the outcome affects knowledge of the prognosis.

In recent years several methods and techniques from the fields of
artificial intelligence, decision theory and statistics have been
introduced into models of the medical management of patients
(diagnosis, treatment, follow-up); in some of these models, assessment
of the expected prognosis constitutes an integral part. Typically,
recent prognostic methods rely on explicit (patho)physiological
models, which may be combined with traditional models of life
expectancy. Examples of such domain models are causal disease models,
and physiological models of regulatory mechanisms in the human body.
Such model-based approaches have the potential to facilitate the
development of actual systems, because the medical domain models can
be (partially) obtained from the medical literature.

Various methods have been suggested for the representations of such
domain models ranging from quantitative and probabilistic approaches
to symbolic and qualitative ones. Semantic concepts such as time,
e.g. for modelling the progressive changes of regulatory mechanisms,
have formed an important and challenging modelling issue. Moreover,
automatic learning techniques of such models have been proposed. When
model construction is hard, less explicit domain models have been
studied such as the use of case-based and neural network
representations and their combination with more explicit domain
models. In medical decision analysis, where the theories of
probability and utility are combined, various representations and
techniques are suggested such as decision trees, regression models,
and representations in which advantage is taken from the Markov
assumption (such as in Markov decision problems).

This workshop aims at bringing together various theoretical and
practical approaches to computational prognosis that comprise the
state of the art in this field. This workshop is a follow up on the
initiative started with the successful invited session on "Intelligent
Prognostic Methods in Medical Diagnosis and Treatment Planning" in
1998 during the conference "Computational Engineering in Systems
Applications 1998 (cesa'98)
( which has resulted in a
special issue on prognosis of the journal Artificial Intelligence in

Papers are sought that describe medical prognosis applications using
methods and techniques from artificial intelligence, decision theory,
and statistics as well as papers proposing theoretical foundations of
such methods. The workshop will also include one or more invited talks
(details will appear in due time on the corresponding WWW-page of this
workshop and the AIMDM'99 pages).

Topics of interest

Papers are sought on topics including, but not limited to:

 * Modelling and Reasoning:
 o the specification of prognostic models, possibly as part of
 diagnostic or therapy-planning applications
 o representation and reasoning about (multiple) model types such as
 empirical, anatomical and (patho)physiological ones
 o representation of and reasoning with time
 o qualitative representation and reasoning
 o decision modelling and analysis
 o (dynamic) probabilistic networks
 o representation and interpretations of strategies and guidelines
 o health care quality assurance
 o technology assessment and health policy making
 o function-based representation and reasoning
 o case-based representation and reasoning

 * Knowledge Acquisition:
 o acquisition of the medical prognostic models
 o automated learning of domain or task models using machine learning
 and data-mining techniques

 * Formalisation:
 o use of logical, set-theoretical or probabilistic methods to
 formalise various aspects of prognosis and therapy planning

 * Medical Applications:
 o clinical context of actual prognostic models
 o role of prognostic models in diagnosis or treatment planning of a
 specific disease
 o evaluation of prognostic models

Each submission will be refereed by at least two members of the
programme committee. Accepted papers will appear in the working notes
of the workshop "Prognostic Models in Medicine: Artificial
Intelligence and Decision Analytic Approaches". Attempts are made to
organise a special issue of a suitable international journal based on
the best papers.

Instructions to authors

Structured abstracts (up to 4 pages) are to be addressed to the first
co-chair and should be written in English with a short abstract and a
list of keywords. Electronic submissions by e-mail are encouraged
(either postscript files or plain text). Alternatively, 3 paper copies
may be submitted. The accepted abstracts will appear in the working
notes. Note that authors planning to submit a structured abstract to
the workshop may also submit their contributions (full paper or
structured abstract) to the main conference of AIMDM'99.

Registration fee

Workshop only 750 DKK, for participants of AIMDM'99 500 DKK. The fee
includes light refreshments and lunch.

Workshop organization

Ameen Abu-Hanna, University of Amsterdam, The Netherlands
Peter Lucas, Utrecht University, The Netherlands

Programme committee

A. Abu-Hanna, The Netherlands
S. Andreassen, Denmark
P.M.M. Bossuyt, The Netherlands
J. Fox, UK
L.C. van der Gaag, The Netherlands
J.D.F. Habbema, The Netherlands
P. Haddawy, USA
P. Hammond, UK
E. Keravnou, Cyprus
N. Lavrac, Slovenia
J. van der Lei, The Netherlands
P.J.F. Lucas, The Netherlands
L. Ohno-Machado, USA
M. Ramoni, UK
M. Stefanelli, Italy
Th. Wetter, Germany
J. Wyatt, UK

For more information about the workshop please contact one of the

- --------------------------------------------------------------------------
Ameen Abu-Hanna Peter Lucas
Dept. of Medical Informatics Dept. of Computer Science
Academic Medical Center Utrecht University
University of Amsterdam Padualaan 14
Meibergdreef 15 3584 CH Utrecht
1105 AZ Amsterdam The Netherlands
The Netherlands
Telephone: +31 20 565959 Telephone: +31 30 2534094
Fax : +31 20 6919840 Fax: +31 30 2513791
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