{"type":"ScholarlyArticle","title":"Intimate Learning: A Novel Approach for Combining Labelled and Unlabelled Data","authors":[{"name":"Zhongmin Shi","slug":"zhongmin-shi","given":"Zhongmin","family":"Shi","affiliation":""},{"name":"Anoop Sarkar","slug":"anoop-sarkar","given":"Anoop","family":"Sarkar","affiliation":""}],"abstract":"This paper introduces a new bootstrapping method closely related to co-training and scoped-learning. The method is tested on a Web information extraction task of learning course names from web pages in which we use very few labelled items as seed data (10 web pages) and combine with an unlabelled set (174 web pages). The overall performance improved the precision/recall from 3.11%/0.31% for a baseline EM-based method to 44.7%/44.1% for intimate learning.","doi":null,"url":"https://ijcai.org/proceedings/2005/325","pdf":"https://ijcai.org/proceedings/2005/0325.pdf","markdown":"https://ijcai.org/proceedings/2005/325.md","bibtex":"https://ijcai.org/proceedings/2005/bibtex/325","volume":{"slug":"2005","title":"Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2005","url":"https://ijcai.org/proceedings/2005/","year":2005,"location":"Edinburgh, Scotland, UK","dates":"","editors":"","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":325,"pages":{"first":1634,"last":1634},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}