{"type":"ScholarlyArticle","title":"SARDSRN: A Neural Network Shift-Reduce Parser","authors":[{"name":"Marshall R. Mayberry","slug":"marshall-r-mayberry","given":"Marshall R.","family":"Mayberry","affiliation":""},{"name":"Risto Miikkulainen","slug":"risto-miikkulainen","given":"Risto","family":"Miikkulainen","affiliation":""}],"abstract":"Simple Recurrent Networks (SRNs) have been widely used in natural language tasks. SARDSRN extends the SRN by explicitly representing the input sequence in a SARDNET self-organizing map. The distributed SRN component leads to good generalization and robust cognitive properties, 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, and suggests that the approach could scale up to realistic natural language.","doi":null,"url":"https://ijcai.org/proceedings/1999/117","pdf":"https://ijcai.org/proceedings/1999/0117.pdf","markdown":"https://ijcai.org/proceedings/1999/117.md","bibtex":"https://ijcai.org/proceedings/1999/bibtex/117","volume":{"slug":"1999","title":"Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1999","url":"https://ijcai.org/proceedings/1999/","year":1999,"location":"Stockholm, Sweden","dates":"","editors":"Thomas Dean","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Machine Learning","track":"Machine Learning","number":117,"pages":{"first":820,"last":826},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}