?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=SARDSRN%3A+A+NEURAL+NETWORK+SHIFT-REDUCE+PARSER&rft.creator=Mayberry%2C+Marshall+R.&rft.creator=Miikkulainen%2C+Risto&rft.subject=Language&rft.subject=Neural+Nets&rft.subject=Artificial+Intelligence&rft.description=Simple+Recurrent+Networks+(SRNs)+have+been+widely+used+in+natural+language+tasks.+SARDSRN+extends+the+SRN+by%0A++++++++explicitly+representing+the+input+sequence+in+a+SARDNET+self-organizing+map.+The+distributed+SRN+component+leads+to+good+generalization+and+robust+cognitive+properties%2C+whereas+the+SARDNET+map+provides+exact+representations+of+the+sentence+constituents.+This+combination+allows+SARDSRN+to+learn+to+parse+sentences+with+more+complicated+structure+than+can+the+SRN+alone%2C+and+suggests+that+the+approach+could+scale+up+to+realistic+natural+language.+&rft.date=1999&rft.type=Conference+Paper&rft.type=PeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F2646%2F1%2Fmayberry.sardsrn.pdf&rft.identifier=++Mayberry%2C+Marshall+R.+and+Miikkulainen%2C+Risto++(1999)+SARDSRN%3A+A+NEURAL+NETWORK+SHIFT-REDUCE+PARSER.++%5BConference+Paper%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F2646%2F