Learning Semantic Categories from Clickthrough Logs
Mamoru Komachi(Nara Institute of Science and Technology), Shimpei Makimoto, Kei Uchiumi, Manabu Sassano
Proceedings of the ACL-IJCNLP 2009 Conference Short Papers, 2009/8 pp.189-192
Natural Language Processing Information Retrieval
- As the web grows larger, knowledge acquisition from the web has gained increasing attention. In this paper, we propose using web search clickthrough logs to learn semantic categories. Experimental results show that the proposed method greatly outperforms previous work using only web search query logs.