Saturday, Dec 6, 1997; Breckenridge, CO
Neuronal models of lexical acquisition and semantic processing have been addressed in the context of connectionist models of categorization, including self-organizing maps, constraint satisfaction networks and multilayer feedforward networks. Recently, a number of new suggestions and proposals have been forthcoming which put research on lexical meaning in context with concept learning, language development and statistical induction. These approaches relate to the disciplines of
It seems that a theory of conceptual semantics is forthcoming which pushes beyond the limits of connectionist models by incorporating strands from dynamic system theory (attractor networks, catastrophe theory) and statistical induction (Kolmogorov complexity, MDL learning).
The aim of the workshop is to provide a forum for an interchange of methodologies, research directions and theoretical discussion. The format will consist of introductory statements from panelists, group discussion and individual position paper presentations.
Gabriele
Scheler, Munich
University of Technology and ICSI, Berkeley
Georg Dorffner, University
of Vienna and Austrian Research
Institute for Artificial Intelligence
The workshop will be held in conjunction with NIPS'97 in Breckenridge, Colorado on December 6, 1997. For more information on the workshops, see here.
We envisage about 20-30 participants. There will be 12 individual paper presentations of 10-15 minutes each, a number of panelists' statements and an open group discussion.
Electronic publication of submitted abstracts is being realized here. Further electronic and print publication as a survey paper in Neural Computing Surveys is planned. A book publication by Springer or another major publisher in 1998 based on full papers from workshop participants and additional contributions by other researchers is anticipated.