In this paper, we define the problem of identifying the author of a Web page as a sub-problem of identifying the information sender configuration of a Web page. We propose a method that extracts the author name candidates from a Web page based on linguistic features, and rank the candidates based on local features such as distance from the main content. The evaluation shows that we can achieve more than 75% precision when evaluated with candidates ranked within top five.
['Yoshikiyo Kato', 'Daisuke Kawahara', 'Kentaro Inui', 'Sadao Kurohashi', 'Tomohide Shibata']
Extracting the author of web pages