Abstract
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. © 2009 ACL and AFNLP.
Cite
CITATION STYLE
Komachi, M., Makimoto, S., Uchiumi, K., & Sassano, M. (2009). Learning semantic categories from clickthrough logs. In ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf. (pp. 189–192). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1667583.1667641
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