Towards genre classification for IR in the workplace

Abstract. Use of document genre in information retrieval systems has the potential to improve the task-appropriateness of results. However, genre classification remains a challenging problem. We describe a case study of genre classification in a software engineering workplace domain, which includes the development of a genre taxonomy and experiments in automatic genre classification using supervised machine learning. We present results based on evaluation using real-life enterprise data from this work domain.

• Type: Conference
• Year: 2006
• Where: IIIX
• Authors: Luanne Freund, Charles L. A. Clarke, Elaine G. Toms
• Keywords: Automatic Genre Classification, Document Genre, Genre Classification, IIIX 2006, Information Management