Approximate Definitional Constructs as Lightweight Evidence for Detecting Classes Among Wikipedia Articles
Pages 2373 - 2376
Abstract
A lightweight method applies a few extraction patterns to the task of distinguishing Wikipedia articles that are classes ("Walled garden", "Garden") from other articles ("High Hazels Park"). The method acquires a set of classes, based on patterns targeting phrases that likely refer to either concepts being introduced or defined ("a *walled garden* is a garden [.]"); or to concepts used to introduce or define other concepts ("a walled garden is a *garden* [.]"). Experimental results over multiple evaluation sets are better, when relying on defined phrases alone vs. defining phrases alone; and further improved, when combining complementary evidence from both.
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- Approximate Definitional Constructs as Lightweight Evidence for Detecting Classes Among Wikipedia Articles
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Published In
November 2019
3373 pages
ISBN:9781450369763
DOI:10.1145/3357384
- General Chairs:
- Wenwu Zhu,
- Dacheng Tao,
- Xueqi Cheng,
- Program Chairs:
- Peng Cui,
- Elke Rundensteiner,
- David Carmel,
- Qi He,
- Jeffrey Xu Yu
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Published: 03 November 2019
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CIKM '19: The 28th ACM International Conference on Information and Knowledge Management
November 3 - 7, 2019
Beijing, China
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CIKM '19 Paper Acceptance Rate 202 of 1,031 submissions, 20%;
Overall Acceptance Rate 1,861 of 8,427 submissions, 22%
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