paper announcement

[Stefan Wermter]

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FTP-host: archive.cis.ohio-state.edu
FTP-file: pub/neuroprose/wermter.screen.ps.Z

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The following paper is available via anonymous ftp from the neuroprose archive:

File: wermter.screen.ps.Z 
Length: 6 pages


            Learning Fault-tolerant Speech Parsing with SCREEN

                     Stefan Wermter and Volker Weber
                      Department of Computer Science
                      University of Hamburg, Germany


[to appear in Proceedings of National Conference on Artificial Intelligence 94]


Abstract:

This paper describes a new approach and a system SCREEN for fault-tolerant  
speech parsing. SCREEEN stands for Symbolic Connectionist Robust EnterprisE 
for Natural language. Speech parsing describes the syntactic and 
semantic analysis of spontaneous spoken language. The general approach is 
based on  incremental immediate flat analysis, learning of syntactic and 
semantic speech parsing, parallel integration of current hypotheses, and the 
consideration of various forms of speech related errors. The goal for this 
approach is to explore the parallel interactions between various knowledge 
sources for learning incremental fault-tolerant speech parsing. This approach
is examined in a system SCREEN using various hybrid connectionist techniques.
Hybrid connectionist techniques are examined because of their promising
properties of inherent fault tolerance, learning, gradedness and parallel 
constraint integration. The input for SCREEN is hypotheses about recognized
words of a spoken utterance potentially analyzed by a speech system, the
output is hypotheses about the flat syntactic and semantic analysis of the
utterance. In this paper we focus on the general approach, the overall
architecture, and examples for learning flat syntactic speech parsing.
Different from most other speech language architectures SCREEN emphasizes an
interactive rather than an autonomous position, learning rather than encoding,
flat analysis rather than in-depth analysis, and fault-tolerant processing of
phonetic, syntactic and semantic knowledge. 


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To retrieve the compressed postscript file, do the following:
 
unix> ftp archive.cis.ohio-state.edu
ftp> login: anonymous
ftp> password: [your_full_email_address]
ftp> cd pub/neuroprose
ftp> binary
ftp> get wermter.screen.ps.Z
ftp> quit
unix> uncompress wermter.screen.ps.Z
unix> lpr wermter.screen.ps 
      (or however you print postscript)
 

(Hard copies of the paper are unfortunately not available.
European paper format has been used but everything should 
be complete on shorter US paper format as well.)


best wishes, Stefan Wermter




**************************************************************************
* Dr Stefan Wermter			Universitaet Hamburg	         *
*  					Fachbereich Informatik	         *
* wermter at informatik.uni-hamburg.de  	Vogt-Koelln-Strasse 30           *
* phone: +49 40 54715-531		D-22527 Hamburg 		 *
* fax: 	 +49 40 54715-515		Germany                          *
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