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AAAI
1994

Parsing Embedded Clauses with Distributed Neural Networks

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Parsing Embedded Clauses with Distributed Neural Networks
A distributed neural network model called SPEC for processing sentences with recursive relative clauses is described. The model is based on separating the tasks of segmenting the input word sequence into clauses, forming the case-role representations, and keeping track of the recursive embeddings into different modules. The system needs to be trained only with the basic sentence constructs, and it generalizes not only to new instances of familiar relative clause structures, but to novel structures as well. SPEC exhibits plausible memory degradation as the depth of the center embeddings increases, its memory is primed by earlier constituents, and its performance is aided by semantic constraints between the constituents. The ability to process structure is largely due to a central executive network that monitors and controls the execution of the entire system. This way, in contrast to earlier subsymbolic systems, parsing is modeled as a controlled high-level process rather than one base...
Risto Miikkulainen, Dennis Bijwaard
Added 02 Nov 2010
Updated 02 Nov 2010
Type Conference
Year 1994
Where AAAI
Authors Risto Miikkulainen, Dennis Bijwaard
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