Friday, April 20, 2007
12:30 PM
CSB 703
Ben Van Durme
University of Rochester
Extracting Class Attributes from Query Logs
Within the larger area of automatic acquisition of knowledge from the Web, we introduce a method for extracting relevant attributes, or quantifiable properties, for various classes of objects. The method extracts attributes such as capital city and President for the class Country, or cost, manufac- turer and side effects for the class Drug, without re- lying on any expensive language resources or com- plex processing tools. In a departure from previous approaches to large-scale information extraction, we explore the role of Web query logs, rather than Web documents, as an alternative source of class attributes. The quality of the extracted attributes recommends query logs as a valuable, albeit little explored, resource for information extraction.