2 TRs available
Andreas Stolcke
stolcke%icsib12.Berkeley.EDU at jade.berkeley.edu
Wed Apr 18 18:31:33 EDT 1990
The following Technical Reports are available. Please refer to the end of
this message for information on how to obtain them.
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MINIATURE LANGUAGE ACQUISITION:
A TOUCHSTONE FOR COGNITIVE SCIENCE
Jerome A. Feldman, George Lakoff, Andreas Stolcke and Susan Hollbach Weber
International Computer Science Institute
Technical Report TR-90-009
March 1990
ABSTRACT
Cognitive Science, whose genesis was interdisciplinary, shows signs of
reverting to a disjoint collection of fields. This paper presents a
compact, theory-free task that inherently requires an integrated
solution. The basic problem is learning a subset of an arbitrary
natural language from picture-sentence pairs. We describe a very
specific instance of this task and show how it presents fundamental
(but not impossible) challenges to several areas of cognitive science
including vision, language, inference and learning.
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LEARNING FEATURE-BASED SEMANTICS WITH SIMPLE RECURRENT NETWORKS
Andreas Stolcke
International Computer Science Institute
Technical Report TR-90-015
April 1990
ABSTRACT
The paper investigates the possibilities for using simple
recurrent networks as transducers which map sequential natural
language input into non-sequential feature-based semantics. The
networks perform well on sentences containing a single main
predicate (encoded by transitive verbs or prepositions) applied
to multiple-feature objects (encoded as noun-phrases with
adjectival modifiers), and shows robustness against ungrammatical
inputs. A second set of experiments deals with sentences
containing embedded structures. Here the network is able to
process multiple levels of sentence-final embeddings but only one
level of center-embedding. This turns out to be a consequence of the
network's inability to retain information that is not reflected in the
outputs over intermediate phases of processing. Two extensions to
Elman's original recurrent network architecture are introduced.
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[Versions of these papers have been submitted to the 12th Annual
Conference of the Cognitive Science Society.]
The reports can be obtained as compressed PostScript files from host
cis.ohio-state.edu via anonymous ftp. The filenames are
feldman.tr90-9.ps.Z and
stolcke.tr90-15.ps.Z
in directory /pub/neuroprose.
Hardcopies may be requested via e-mail to
weber at icsi.berkeley.edu or
stolcke at icsi.berkeley.edu
or physical mail to one of the authors at the following address:
International Computer Science Institute
1947 Center Street, Suite 600
Berkeley, CA 94704
U.S.A.
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Andreas Stolcke
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