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- W2600198921 abstract "Entity tasks, such as linking, integration, and translation, are crucial for many search and NLP applications. For this purposed entity graphs have been manually built or automatically harvested. In this paper, we survey existing approaches abstracting these problems into a graph-based iterative matching on a pair of entity graphs." @default.
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- W2600198921 date "2016-11-01" @default.
- W2600198921 modified "2023-10-04" @default.
- W2600198921 title "Linking, integrating, and translating entities via iterative graph matching" @default.
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- W2600198921 doi "https://doi.org/10.1109/taai.2016.7880156" @default.
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