Paper: Learning Semantic Categories from Clickthrough Logs

ACL ID P09-2048
Title Learning Semantic Categories from Clickthrough Logs
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2009
Authors

As the web grows larger, knowledge ac- quisition from the web has gained in- creasing attention. In this paper, we pro- pose using web search clickthrough logs to learn semantic categories. Experimen- tal results show that the proposed method greatly outperforms previous work using only web search query logs.