{"type":"ScholarlyArticle","title":"Semi-Supervised Learning of Attribute-Value Pairs from Product Descriptions","authors":[{"name":"Katharina Probst","slug":"katharina-probst","given":"Katharina","family":"Probst","affiliation":""},{"name":"Rayid Ghani","slug":"rayid-ghani","given":"Rayid","family":"Ghani","affiliation":""},{"name":"Marko Krema","slug":"marko-krema","given":"Marko","family":"Krema","affiliation":""},{"name":"Andrew E. Fano","slug":"andrew-e-fano","given":"Andrew E.","family":"Fano","affiliation":""},{"name":"Yan Liu","slug":"yan-liu","given":"Yan","family":"Liu","affiliation":""}],"abstract":"We describe an approach to extract attribute-value pairs from product descriptions. This allows us to represent products as sets of such attribute-value pairs to augment product databases. Such a representation is useful for a variety of tasks where treating a product as a set of attribute-value pairs is more useful than as an atomic entity. Examples of such applications include product recommendations, product comparison, and demand forecasting. We formulate the extraction as a classification problem and use a semi-supervised algorithm (co-EM) along with (Naive Bayes). The extraction system requires very little initial user supervision: using unlabeled data, we automatically extract an initial seed list that serves as training data for the supervised and semi-supervised classification algorithms. Finally, the extracted attributes and values are linked to form pairs using dependency information and co-location scores. We present promising results on product descriptions in two categories of sporting goods.","doi":null,"url":"https://ijcai.org/proceedings/2007/456","pdf":"https://ijcai.org/proceedings/2007/0456.pdf","markdown":"https://ijcai.org/proceedings/2007/456.md","bibtex":"https://ijcai.org/proceedings/2007/bibtex/456","volume":{"slug":"2007","title":"Proceedings of the Twentieth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2007","url":"https://ijcai.org/proceedings/2007/","year":2007,"location":"Hyderabad, India","dates":"","editors":"Ramon López de Mántaras","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":456,"pages":{"first":2838,"last":2842},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}