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Chapter and Conference Paper
Semantic Rule Filtering for Web-Scale Relation Extraction
Web-scale relation extraction is a means for building and extending large repositories of formalized knowledge. This type of automated knowledge building requires a decent level of precision, which is hard to ...
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Chapter and Conference Paper
Large-Scale Learning of Relation-Extraction Rules with Distant Supervision from the Web
We present a large-scale relation extraction (RE) system which learns grammar-based RE rules from the Web by utilizing large numbers of relation instances as seed. Our goal is to obtain rule sets large enough ...