Tag Line Generating System Using Information on the Web

Abstract

Tag lines have a feature that attract attention for people. This paper proposes a tag line generating system using information on the web. Feeding some queries made by keywords, the proposed system obtains web text information and extracts knowledge of it. After that, candidates are generated using model tagline's frame structure selected from tag line corpus. It is suggested that some of the generated candidates attract attention in terms of a target.