An Automatic Extraction of Academia-Industry Collaborative Research and Development Documents on the Web

This research focuses on an automatic extraction method of Japanese documents describing University-Industry (U-I) relations from the Web. The method proposed here consists of a preprocessing step for Japanese texts and a classification step with a SVM. The feature selection process is especially tuned up for U-I relations documents. A U-I document extraction experiment has been conducted and the features found to be relevant for this task are discussed.