creators_name: Miikkulainen, Risto type: journalp datestamp: 2001-11-18 lastmod: 2011-03-11 08:54:49 metadata_visibility: show title: Subsymbolic Case-Role Analysis of Sentences with Embedded Clauses ispublished: pub subjects: comp-sci-lang subjects: comp-sci-neural-nets subjects: ling-comput full_text_status: public keywords: sentence processing, parsing, relative clauses, modular networks abstract: 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 based on automatic reflex responses. date: 1996 date_type: published publication: Cognitive Science volume: 20 pagerange: 47-73 refereed: TRUE citation: Miikkulainen, Risto (1996) Subsymbolic Case-Role Analysis of Sentences with Embedded Clauses. [Journal (Paginated)] document_url: http://cogprints.org/1897/2/tt.ps