Preprints available
Gabriele Scheler
scheler at ICSI.Berkeley.EDU
Wed Jun 11 20:33:29 EDT 1997
Dear connectionists,
a number of preprints on neuronal and statistical models of linguistic
functions are available from my homepage now.
The URL is:
http://www.informatik.tu-muenchen.de/~scheler/publications.html
Gabriele Scheler
Institut fuer Informatik
TU Muenchen
D 80290 Muenchen
present address:
ICSI
1947 Center Street
Berkeley, Ca. 94704
I include titles, abstracts and bibliographic references for two recent
papers:
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Scheler, Gabriele and Kerstin Fischer:
The many functions of discourse particles: A computational model.
to appear in Proceedings of Cognitive Science 1997.
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We present a connectionist model for the interpretation of discourse
particles in real dialogues that is based on neuronal principles of
categorization (categorical perception, prototype formation, contextual
interpretation).
It can be shown that discourse particles operate just like other
morphological and lexical items with respect to interpretation processes.
The description proposed locates discourse particles in an elaborate model of
communication which incorporates many different aspects of the
communicative situation. We therefore also attempt to explore the content
of the category discourse particle.
We present a detailed analysis of the meaning assignment problem and
show that 80% - 90% correctness for unseen discourse particles can be
reached with the feature analysis provided.
Furthermore, we show that `analogical transfer' from one discourse
particle to another is facilitated if prototypes are computed and
used as the basis for generalization.
We conclude that the interpretation processes which are a part of the human
cognitive system are very similar with respect to different linguistic items.
However, the analysis of discourse particles shows clearly that any
explanatory theory of language needs to incorporate a theory of
communication processes.
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Scheler,G. Feature-based Perception of Semantic Concepts. to appear:
Freksa(ed.) Computation and Cognition, Springer 1997.
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In this paper we point to some principles of neural computation
as they have been derived from experimental and theoretical studies
primarily on vision. We argue that these principles are well suited to
explain some characteristics of the linguistic function of semantic concept
recognition. Computational models built on these principles have been
applied to morphological-grammatical categories (aspect), function words
(determiners) and discourse particles in spoken language. We suggest a
few ways in which these studies may be extended to include more detail
on neural functions into the computational model.
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