Construction of a Connectionist Network Supercomputer

1992 ◽  
Author(s):  
CALIFORNIA UNIV BERKELEY
Keyword(s):  
Connectionist Network

Surface-marker-based dialog modelling: A progress report on the MAREDI project

2003 ◽  
Vol 9 (4) ◽  
pp. 325-363
Author(s):  
SYLVAIN DELISLE ◽  
BERNARD MOULIN ◽  
TERRY COPECK
Keyword(s):  
Information Systems ◽  
Natural Language ◽  
Speech Acts ◽  
Spoken Language ◽  
Progress Report ◽  
Surface Marker ◽  
Simplified Model ◽  
Surface Markers ◽  
Connectionist Network ◽  
Current State

Most information systems that deal with natural language texts do not tolerate much deviation from their idealized and simplified model of language. Spoken dialog is notoriously ungrammatical, however. Because the MAREDI project focuses in particular on the automatic analysis of scripted dialogs, we needed to develop a robust capacity to analyze transcribed spoken language. This paper summarizes the current state of our work. It presents the main elements of our approach, which is based on exploiting surface markers as the best route to the semantics of the conversation modelled. We highlight the foundations of our particular conversational model, and give an overview of the MAREDI system. We then discuss its three key modules, a connectionist network to recognise speech acts, a robust syntactic analyzer, and a semantic analyzer.

A Survey of Connectionist Network Reuse Through Transfer

1996 ◽  
pp. 19-43 ◽  
Author(s):  
Lorien Pratt ◽  
Barbara Jennings
Keyword(s):  
Connectionist Network

THE HUMAN SEMANTIC POTENTIAL: SPATIAL LANGUAGE AND CONSTRAINED CONNECTIONISM.Terry Regier. Cambridge, MA: MIT Press, 1996. Pp. xvi + 220. $37.50 paper.

1997 ◽  
Vol 19 (4) ◽  
pp. 517-518
Author(s):  
Barbara Abbott
Keyword(s):  
Mutual Exclusion ◽  
Spatial Relations ◽  
Spatial Language ◽  
Connectionist Model ◽  
Structural Constraints ◽  
System Function ◽  
Negative Evidence ◽  
Connectionist Network ◽  
Closed Class ◽  
Spatial Terms

The semantic potential referred to in the title of this book is the ability of humans to learn the (closed-class) terms for basic spatial relations, such as (for English) onto, above, and through. Regier presents a modified connectionist model of this ability designed to address three questions: (a) What kind of system can learn spatial terms? (b) How can this system function without negative evidence? and (c) What are the universal constraints on learnable spatial terms? The answers suggested to these questions are: (a) a modified connectionist network—one which incorporates structural constraints motivated by human physiology; (b) the assumption of mutual exclusion, that is, that different terms have mutually exclusive denotations; and (c) the structural constraints that are incorporated into the network.

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