Abstract
To better organize and understand online news information, we propose Storybase1, a knowledge base for news events that builds upon Wikipedia current events and daily Web news. It first constructs stories and their timelines based onWikipedia current events and then detects and links daily news to enrich those Wikipedia stories with more comprehensive events. We encode events and develop efficient event clustering and chaining techniques in an event space. We demonstrate Storybase with a news events search engine that helps find historical and ongoing news stories and inspect their dynamic timelines.
Cite
CITATION STYLE
Wu, Z., Liang, C., & Giles, C. L. (2015). Storybase: Towards building a knowledge base for news events. In ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, Proceedings of System Demonstrations (pp. 133–138). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/p15-4023
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