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#knowledge-base-construction #machine-learning
Unfortunately, AKBC frameworks fall short when it comes to scalability (ingesting and extracting information at scale), extensibility (ability to add or modify functionality), and usability (ability to easily specify information extraction rules). This is partly because these frameworks are often constructed with relatively limited consideration for archi- tectural design, compared to the attention given to algorithmic performance and low-level optimizations.
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