{"type":"ScholarlyArticle","title":"A Weighted Polynomial Information Gain Kernel for Resolving Prepositional Phrase Attachment Ambiguities with Support Vector Machines","authors":[{"name":"Bram Vanschoenwinkel","slug":"bram-vanschoenwinkel","given":"Bram","family":"Vanschoenwinkel","affiliation":""},{"name":"Bernard Manderick","slug":"bernard-manderick","given":"Bernard","family":"Manderick","affiliation":""}],"abstract":"We introduce a new kernel for Support Vector Machine learning in a natural language setting. As a case study to incorporate domain knowledge into a kernel, we consider the problem of resolving Prepositional Phrase attachment ambiguities. The new kernel is derived from a distance function that proved to be succesful in memory-based learning. We start with the Simple Overlap Metric from which we derive a Simple Overlap Kernel and extend it with Information Gain Weighting. Finally, we combine it with a polynomial kernel to increase the dimensionality of the feature space. The closure properties of kernels guarantee that the result is again a kernel. This kernel achieves high classification accuracy and is efficient in both time and space usage. We compare our results with those obtained by memory-based and other learning methods. They make clear that the proposed kernel achieves a higher classification accuracy.","doi":null,"url":"https://ijcai.org/proceedings/2003/19","pdf":"https://ijcai.org/proceedings/2003/0019.pdf","markdown":"https://ijcai.org/proceedings/2003/19.md","bibtex":"https://ijcai.org/proceedings/2003/bibtex/19","volume":{"slug":"2003","title":"Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2003","url":"https://ijcai.org/proceedings/2003/","year":2003,"location":"Acapulco, Mexico","dates":"","editors":"Georg Gottlob","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":19,"pages":{"first":133,"last":139},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}