The rapid growth of information sources brings a unique challenge to biographical information extraction: how to find specific facts without having to read all the words. An effective solution is to follow the human scanning strategy which keeps a specific keyword in mind and searches within a specific scope. In this paper, we mimic a scanning process to extract biographical facts. We use event and relation triggers as keywords, identify their scopes and apply type constraints to extract answers within the scope of a trigger. Experiments demonstrate that our approach outperforms state-of-the-art methods up to 26% absolute gain in F-score without using any syntactic analysis or external knowledge bases.
CITATION STYLE
Yu, D., Ji, H., Li, S., & Lin, C. Y. (2015). Why read if you can scan? Trigger scoping strategy for biographical fact extraction. In NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference (pp. 1203–1208). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/n15-1126
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