{"type":"ScholarlyArticle","title":"A Coincidence Detection Network for Spatio-Temporal Coding: Application to Nominal Composition","authors":[{"name":"Christian Jacquemin","slug":"christian-jacquemin","given":"Christian","family":"Jacquemin","affiliation":""}],"abstract":"This paper describes an architecture for semantic interpretation and classification of nominal phrases. The network, based on the coincidence detection of incoming events, shows an ability to extract relevant linguistic features. Through a combinatorial study, we justify that the topology is rich enough to extract the desired feature associations. It is designed to handle and to combine several linguistic problems. Two particular applications are reported which account for a computational approach of compositionality with implicit knowledge representation: • The interpretation of locative noun phrases 'cooking+Prep+NP' is inferred from a set of associations of prepositions and noun phrases. • The semantics of 'Noun+a+Noun' compounds is linked to the acceptabilities of linguistic tests.","doi":null,"url":"https://ijcai.org/proceedings/1993/186","pdf":"https://ijcai.org/proceedings/1993/0186.pdf","markdown":"https://ijcai.org/proceedings/1993/186.md","bibtex":"https://ijcai.org/proceedings/1993/bibtex/186","volume":{"slug":"1993","title":"Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1993","url":"https://ijcai.org/proceedings/1993/","year":1993,"location":"Chambéry, France","dates":"","editors":"Ruzena Bajcsy","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Neural Networks","track":"Neural Networks","number":186,"pages":{"first":1346,"last":1350},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}