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- W2013099118 abstract "Acquiring high-quality (temporal) facts for knowledge bases is a labor-intensive process. Although there has been recent progress in the area of semi-supervised fact extraction, these approaches still have limitations, including a restricted corpus, a fixed set of relations to be extracted or a lack of assessment capabilities. In this paper we introduce PRAVDA-live, a framework that overcomes these limitations and supports the entire pipeline of interactive knowledge harvesting. To this end, our demo exhibits fact extraction from ad-hoc corpus creation, via relation specification, labeling and assessment all the way to ready-to-use RDF exports." @default.
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- W2013099118 date "2012-10-29" @default.
- W2013099118 modified "2023-10-01" @default.
- W2013099118 title "PRAVDA-live" @default.
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- W2013099118 doi "https://doi.org/10.1145/2396761.2398722" @default.
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